From 8ce4199afd9e1cef2ece17ca491c487a42f3d73f Mon Sep 17 00:00:00 2001 From: chenjiajia Date: Mon, 23 Oct 2023 21:08:17 +0000 Subject: [PATCH] Robot Updated at:23 Oct 2023 21:08:17 GMT --- docs/awesome/awesome-agi-cocosci.md | 2 + docs/awesome/awesome-board-games.md | 60 ++++++++++++ .../awesome-browser-extensions-for-github.md | 98 +++++++++---------- docs/awesome/awesome-cakephp.md | 2 +- docs/awesome/awesome-cpp.md | 1 + docs/awesome/awesome-datascience.md | 70 ++++++------- docs/awesome/awesome-directus.md | 4 + docs/awesome/awesome-dotnet-core.md | 1 + docs/awesome/awesome-dotnet.md | 1 + docs/awesome/awesome-graphql.md | 1 + docs/awesome/awesome-ipfs.md | 1 + docs/awesome/awesome-jax.md | 3 + docs/awesome/awesome-neovim.md | 2 + docs/awesome/awesome-playcanvas.md | 1 + docs/awesome/awesome-scriptable.md | 4 + docs/awesome/awesome-selfhosted.md | 2 +- docs/awesome/free-for-dev.md | 2 + 17 files changed, 169 insertions(+), 86 deletions(-) diff --git a/docs/awesome/awesome-agi-cocosci.md b/docs/awesome/awesome-agi-cocosci.md index 28336b7095..061c23214c 100644 --- a/docs/awesome/awesome-agi-cocosci.md +++ b/docs/awesome/awesome-agi-cocosci.md @@ -1729,6 +1729,8 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht * [Rethinking Executive Function and Its Development](https://journals.sagepub.com/doi/pdf/10.1177/1745691620904771) - ***Psychological Science***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=16570230278367237499&hl=en&as_sdt=2005&sciodt=0,5)]. +* [Age-of-acquisition ratings for 30,000 English words](https://link.springer.com/article/10.3758/s13428-012-0210-4) - ***Behavior Research Methods***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=6752414178722956940&hl=en&as_sdt=0,5)]. [[Project](http://crr.ugent.be/archives/806)]. A database for age-of-acquisition ratings for over 30k English words. + ### Learning in the Open World diff --git a/docs/awesome/awesome-board-games.md b/docs/awesome/awesome-board-games.md index e938b70af9..876576337c 100644 --- a/docs/awesome/awesome-board-games.md +++ b/docs/awesome/awesome-board-games.md @@ -2537,6 +2537,16 @@ Superfight is a game where you argue with your friends over ridiculous fights. T |-------: | -------: | ------:| | 2 - 5 | 13 | 90m | +### [Five Tribes](https://boardgamegeek.com/boardgame/157354/five-tribes) + +> In the fabled Sultanate of Naqala, the old sultan's passing has left control of the realm in contention, as strangers aim to fulfill the oracles' prophecy by shrewdly maneuvering the Five Tribes—Assassins, Elders, Builders, Merchants, and Viziers—across villages, markets, oases, and sacred places. Designed by Bruno Cathala, Five Tribes is a captivating twist on worker placement games, with meeples already in place at the start. As you invoke Djinns and make calculated moves, you must strategically consider when and where to displace the tribes to secure your influence over this legendary city-state, all while weighing different pathways to victory and outmaneuvering your rivals. + +![Five Tribes](https://cf.geekdo-images.com/dmo-WD6HZHVUPrbVHunaTw__itemrep/img/4RfYsuXBO2FrnJynkXV5zTj7PU4=/fit-in/246x300/filters:strip_icc()/pic2055255.jpg) + +| Players | Min. Age | Time | +|-------: | -------: | ------:| +| 2 - 4 | 13 | 40–80m | + ### [Arkham Horror](https://boardgamegeek.com/boardgame/15987/arkham-horror) > The year is 1926, and it is the height of the Roaring Twenties. Flappers dance till dawn in smoke-filled speakeasies drinking alcohol supplied by rum runners and the mob. It's a celebration to end all celebrations in the aftermath of the war to end all wars.Yet a dark shadow grows in the city of Arkham. Alien entities known as Ancient Ones lurk in the emptiness beyond space and time, writhing at the gates between worlds. These gates have begun to open and must be closed before the Ancient Ones make our world their ruined domination. @@ -2640,6 +2650,56 @@ Superfight is a game where you argue with your friends over ridiculous fights. T | ------: | -------: | -----: | | 2 - 5 | 8 | 10-20m | +### [Thunderstone](https://boardgamegeek.com/boardgame/53953/thunderstone) + +> Thunderstone is a fantasy deck-building game much in the style of Dominion. Before the game starts a selection of Village and Hero cards will be randomnly chosen that players may add to their specific decks. Like Dominion, every player starts with a basic deck of weaker cards that they can use to purchase other more powerful cards. In Thunderstone these cards may be different Heroes such as mages, archers, thieves, or warriors or they may be supplies the heroes need like weapons, rations, or light to reach further into the dungeon. + +![Thunderstone](https://cf.geekdo-images.com/pVyy-LSVBIMQ0GUsvsIfww__itemrep/img/CAn9h1_likJ6Lq_JtyspJwREDH0=/fit-in/246x300/filters:strip_icc()/pic544780.jpg) + +| Players | Min. Age | Time | +| ------: | -------: | -----: | +| 1 - 5 | 12 | 60m | + +### [Skull](https://boardgamegeek.com/boardgame/92415/skull) + +> Skull & Roses is the quintessence of bluffing, a game in which everything is played in the players' heads. Each player plays a face-down card, then each player in turn adds one more card – until someone feels safe enough to state that he can turn a number of cards face up and get only roses. Other players can then overbid him, saying they can turn even more cards face up. The highest bidder must then turn that number of cards face up, starting with his own. If he shows only roses, he wins; if he reveals a skull, he loses, placing one of his cards out of play. Two successful challenges wins the game. Skull & Roses is not a game of luck; it's a game of poker face and meeting eyes. + +![Skull](https://cf.geekdo-images.com/OPrd2iXm43dir7BwKAMOuQ__itemrep/img/-OqEtnWB7kEI_C_Zq9XkhDYAnNI=/fit-in/246x300/filters:strip_icc()/pic6097488.jpg) + +| Players | Min. Age | Time | +| ------: | -------: | -----: | +| 3 - 6 | 10 | 15-45m | + +### [Paleo](https://boardgamegeek.com/boardgame/300531/paleo) + +> Paleo is a co-operative adventure game set in the stone age, a game in which players try to keep the human beings in their care alive while completing missions. Sometimes you need a fur, sometimes a tent, but these are all minor quests compared to your long-term goal: Painting a woolly mammoth on the wall so that humans thousands of years later will know that you once existed. (Okay, you just think the mammoth painting looks cool. Preserving a record of your past existence is gravy.) Each player starts the game with a couple of humans, who each have a skill and a number of life points. On a turn, each player chooses to go to one location — possibly of the same type as other players, although not the same location — and while you have some idea of what you might find there, you won't know for sure until you arrive, at which point you might acquire food or resources, or find what you need to craft a useful object, or discover that you can help someone else in their project, or suffer a snakebite that brings you close to death. + +![Paleo](https://cf.geekdo-images.com/85t1wkwgvh3d2mmjsRcDrw__itemrep/img/5Wx2IlXzKh8HmBD-_5Rm2b1YjO4=/fit-in/246x300/filters:strip_icc()/pic6039256.jpg) + +| Players | Min. Age | Time | +| ------: | -------: | -----: | +| 1 - 4 | 10 | 45-60m | + +### [Paths of Glory](https://boardgamegeek.com/boardgame/91/paths-glory) + +> Paths of Glory: The First World War, designed by six-time Charles S. Roberts awards winner, Ted Raicer, allows players to step into the shoes of the monarchs and marshals who triumphed and bungled from 1914 to 1918. As the Central Powers you must use the advantage of interior lines and the fighting skill of the Imperial German Army to win your rightful 'place in the sun.' As the Entente Powers (Allies) you must bring your greater numbers to bear to put an end to German militarism and ensure this is the war 'to end all wars.' Both players will find their generalship and strategic abilities put to the test as Paths of Glory's innovative game systems let you recreate all the dramatic events of World War I. + +![Paths of Glory](https://cf.geekdo-images.com/Ip4TygnwFxuR57Vky9ZeZA__itemrep/img/D1X3z1gSLJg1IltMfhTpfhZ_dPA=/fit-in/246x300/filters:strip_icc()/pic4490515.jpg) + +| Players | Min. Age | Time | +| ------: | -------: | -----: | +| 2 | 14 | 480m | + +### [Calico](https://boardgamegeek.com/boardgame/283155/calico) + +> Calico is a puzzly tile-laying game of quilts and cats. In Calico, players compete to sew the coziest quilt as they collect and place patches of different colors and patterns. Each quilt has a particular pattern that must be followed, and players are also trying to create color and pattern combinations that are not only aesthetically pleasing, but also able to attract the cuddliest cats! Turns are simple. Select a single patch tile from your hand and sew it into your quilt, then draw another patch into your hand from the three available. If you are able to create a color group, you may sew a button onto your quilt. If you are able to create a pattern combination that is attractive to any of the cats, it will come over and curl up on your quilt! At the end of the game, you score points for buttons, cats, and how well you were able to complete your unique quilt pattern. + +![Calico](https://cf.geekdo-images.com/6O6HqeMY6z1MPPKKVKp93g__itemrep/img/XYmwXWKrSFRSB4e_RVQ7AkACF_U=/fit-in/246x300/filters:strip_icc()/pic7714854.jpg) + +| Players | Min. Age | Time | +| ------: | -------: | -----: | +| 1 - 4 | 10 | 30-45m | + ## Contribute Contributions are welcome and encouraged! Read the [contribution guidelines][contrib-guide] first. diff --git a/docs/awesome/awesome-browser-extensions-for-github.md b/docs/awesome/awesome-browser-extensions-for-github.md index 7bd7ccf273..02c1e803f7 100644 --- a/docs/awesome/awesome-browser-extensions-for-github.md +++ b/docs/awesome/awesome-browser-extensions-for-github.md @@ -25,7 +25,7 @@ Want to know more about this process? Check out the [Codeless Contributions with Shows notifications when you get a new notification on GitHub and provides quick access to all notifications in a popup. -Installs: 139 | Stars: 78 | Last update: 2 Jun 2023 +Installs: 136 | Stars: 78 | Last update: 2 Jun 2023 Removes clutter from your pull request by automatically marking as viewed files that aren't worth reviewing. @@ -35,17 +35,17 @@ Installs: 30 | Stars: 7 | Last update: 14 Feb 2022 Next level code navigation for GitHub. -Installs: 588 | Stars: 57 | Last update: 20 Jul 2022 +Installs: 587 | Stars: 58 | Last update: 20 Jul 2022 Visualize GitHub repos as d3 force-directed graphs. The extension gives you a quick overview of the size and composition of any repo. -Installs: 229 | Stars: 12 | Last update: 26 Apr 2022 +Installs: 221 | Stars: 12 | Last update: 26 Apr 2022 The CoderStats link for GitHub Chrome extension displays a link to the CoderStats page for the currently displayed user or organization profile page on GitHub. -Installs: 808 | Stars: 19 | Last update: 2 May 2023 +Installs: 810 | Stars: 19 | Last update: 2 May 2023 Show the # of PRs and other contributors stats in the Issues/PRs tab. Can be helpful for maintainers that want to know if it's a contributor's first PR. @@ -55,12 +55,12 @@ Installs: 350 | Stars: 457 | Last update: 1 Mar 2021 Displays size of each file, download link and an option of copying file contents directly to clipboard -Installs: 40746 | Stars: 1900 | Last update: 25 Dec 2021 +Installs: 40736 | Stars: 1902 | Last update: 25 Dec 2021 Easily search GIPHY to add a GIF into any GitHub comment box. -Installs: 10503 | Stars: 155 | Last update: 27 Jul 2023 +Installs: 10488 | Stars: 156 | Last update: 27 Jul 2023 Find the best GIFs for your awesome pull requests. @@ -70,7 +70,7 @@ Installs: 136 | Stars: 22 | Last update: n/a Quickly browse the history of a file from any git repository. -Installs: 7229 | Stars: 13407 | Last update: 14 Oct 2023 +Installs: 7224 | Stars: 13406 | Last update: 14 Oct 2023 GitHub provides a page that only shows diffs with a .diff at the end of the URL of the pull request. This browser extension makes it easier to view csv diffs by using daff on that page. @@ -80,22 +80,22 @@ Installs: 27 | Stars: 4 | Last update: 18 Apr 2021 Code folding - the ability to selectively hide and display sections of a code - is an invaluable feature in many text editors and IDEs. Now, developers can utilize that same style code-folding while poring over source code on the web in GitHub. Works for any type of indentation- spaces or tabs. -Installs: 3121 | Stars: 285 | Last update: 14 Jul 2022 +Installs: 3119 | Stars: 286 | Last update: 14 Jul 2022 Set custom tab size for code view on GitHub.com -Installs: 574 | Stars: 66 | Last update: 6 May 2019 +Installs: 573 | Stars: 67 | Last update: 6 May 2019 Easily navigate through the changes in a file that has been edited on GitHub. -Installs: 198 | Stars: 19 | Last update: 28 Apr 2023 +Installs: 206 | Stars: 19 | Last update: 28 Apr 2023 A browser extension which gives different filetypes different icons on GitHub. -Installs: 10000 | Stars: 1314 | Last update: 22 Aug 2023 +Installs: 10000 | Stars: 1315 | Last update: 22 Aug 2023 Highlight selected word in GitHub source view like Sublime Text. @@ -105,52 +105,52 @@ Installs: 1000 | Stars: 142 | Last update: 8 Oct 2019 Neat hovercards for GitHub. -Installs: 26975 | Stars: 1784 | Last update: 12 May 2021 +Installs: 26982 | Stars: 1785 | Last update: 12 May 2021 Colorize issue and PR links to see their status (open, closed, merged). -Installs: 970 | Stars: 293 | Last update: 4 Nov 2021 +Installs: 965 | Stars: 293 | Last update: 4 Nov 2021 Displays npm package stats on GitHub -Installs: 646 | Stars: 56 | Last update: 31 May 2020 +Installs: 657 | Stars: 56 | Last update: 31 May 2020 Lists repositories that are similar to the one being viewed -Installs: 385 | Stars: 40 | Last update: 10 Aug 2022 +Installs: 391 | Stars: 40 | Last update: 10 Aug 2022 Revert closed GitHub issues from purple back to red -Installs: 25 | Stars: 39 | Last update: 11 Aug 2023 +Installs: 26 | Stars: 39 | Last update: 11 Aug 2023 Automatically adds repository size to GitHub's repository summary. -Installs: 20000 | Stars: 1172 | Last update: 26 Jun 2020 +Installs: 20000 | Stars: 1171 | Last update: 26 Jun 2020 Chrome extension to see story points in GitHub projects. -Installs: 604 | Stars: 60 | Last update: 17 Aug 2020 +Installs: 601 | Stars: 60 | Last update: 17 Aug 2020 Generates a pie chart on user profile pages displaying a breakdown of what languages they have used in their repositories. -Installs: 967 | Stars: 48 | Last update: 25 Sep 2023 +Installs: 968 | Stars: 48 | Last update: 25 Sep 2023 This extension adds the simplicity of WYSIWYG editing to issues, comments, pull requests, wikis and discussions in GitHub. It accepts Markdown input and offers productive writing, starting with tables. -Installs: 2131 | Stars: 345 | Last update: 14 Jun 2023 +Installs: 2130 | Stars: 346 | Last update: 14 Jun 2023 View and create Linear tickets from any GitHub PR or issue. -Installs: 52 | Stars: 20 | Last update: 12 Apr 2023 +Installs: 50 | Stars: 20 | Last update: 12 Apr 2023 Show [vscode-icons](https://github.com/vscode-icons/vscode-icons) in the repository browser. @@ -160,17 +160,17 @@ Installs: 2000 | Stars: 280 | Last update: 30 Sep 2021 It can make the sub-directories and files of github repository as zip and download it -Installs: 103383 | Stars: 33 | Last update: 21 Aug 2023 +Installs: 103340 | Stars: 34 | Last update: 21 Aug 2023 Create, save, edit, pin, search and delete filters that you commonly use on the Github Issues and Pull Requests pages. You are able to scope filters to be shown globally (on each repo) or only have them show up on the repo you create them on. Pinning filters is also a feature that this extension allows you to do. So if you have several filters you use daily - you have a way to quickly access them, at the top of your list. -Installs: 546 | Stars: n/a | Last update: 22 Aug 2022 +Installs: 549 | Stars: n/a | Last update: 22 Aug 2022 Extension to get back current and longest streak. -Installs: 689 | Stars: 225 | Last update: 10 Jan 2023 +Installs: 685 | Stars: 225 | Last update: 10 Jan 2023 Replace browser new tab screen with GitHub trending projects. @@ -180,47 +180,47 @@ Installs: 2000 | Stars: 342 | Last update: n/a Hide dotfiles from the GitHub file browser. -Installs: 692 | Stars: 314 | Last update: 17 Sep 2021 +Installs: 689 | Stars: 314 | Last update: 17 Sep 2021 Allows you to toggle between the normal GitHub contribution chart and an isometric pixel art version. -Installs: 10000 | Stars: 3400 | Last update: 17 Apr 2023 +Installs: 10000 | Stars: 3401 | Last update: 17 Apr 2023 Chrome extension that adds a button in browser and links this button to a GitHub repository that you will configure, then on any webpage just click this extension button and it will add the given link with the title of the page in that repository. -Installs: 65 | Stars: 232 | Last update: 26 May 2018 +Installs: 64 | Stars: 232 | Last update: 26 May 2018 See forks with the most stars under the names of repositories. -Installs: 1323 | Stars: 557 | Last update: 1 Sep 2021 +Installs: 1319 | Stars: 557 | Last update: 1 Sep 2021 Show Material icons for files/folders in repository file viewer. Display the same icons from vscode-material-icon-theme VSCode extension. -Installs: 10646 | Stars: 380 | Last update: 7 Oct 2023 +Installs: 10639 | Stars: 380 | Last update: 7 Oct 2023 An extension that creates direct links to imported modules, external or internal, on source code on GitHub. Supports multiple languages, including common ones like Rust, Go, Python and Ruby, but also odd ones like Nim, Haskell, Julia and Elm. -Installs: 45 | Stars: 246 | Last update: 27 Nov 2019 +Installs: 46 | Stars: 246 | Last update: 27 Nov 2019 Chrome extension which helps you not to miss important changes in your news thread related to your repo -Installs: 18 | Stars: 14 | Last update: 1 Oct 2018 +Installs: 20 | Stars: 14 | Last update: 1 Oct 2018 A Chrome and Firefox extension to quickly see your notifications in a popup without leaving the current page. -Installs: 436 | Stars: 141 | Last update: 6 Apr 2023 +Installs: 447 | Stars: 141 | Last update: 6 Apr 2023 Displays your GitHub notifications unread count. Supports GitHub Enterprise and an option to only show unread count for issues you're participating in. You can click the icon to quickly see your unread notifications. -Installs: 10576 | Stars: 1749 | Last update: 12 Jul 2023 +Installs: 10561 | Stars: 1749 | Last update: 12 Jul 2023 Filter your pull requests/issues in different categories giving you a big boost in productivity. Also suggests new trending repositories. @@ -230,54 +230,54 @@ Installs: 2 | Stars: 134 | Last update: 16 Jan 2020 OctoLinker is the easiest and best way to navigate between files and projects on GitHub. It supports languages such as JavaScript, Ruby, Go, PHP, JAVA and more. It works with package.json as well as with Gemfiles. -Installs: 32640 | Stars: 5189 | Last update: 13 Nov 2022 +Installs: 32624 | Stars: 5190 | Last update: 13 Nov 2022 OctoPermalinker is a browser extension that searches GitHub comments/files for links to files on branches, and adds a link to where the branch pointed when the comment/file was made/updated. This helps you avoid following a link that was broken after being posted. For context, here's some discussion about broken GitHub links: [Don't link to line numbers in GitHub](https://news.ycombinator.com/item?id=8046710). For example, suppose you're looking at a gist that links to a file on the master branch of a repo. At the time the gist was made, the link worked, but if the file gets removed, the link is broken. OctoPermalinker uses the gist creation date to add a permalink that still works. -Installs: 226 | Stars: 21 | Last update: 20 May 2017 +Installs: 232 | Stars: 21 | Last update: 20 May 2017 The missing IntelliSense hint for GitHub and GitLab -Installs: 5000 | Stars: 961 | Last update: 4 Feb 2022 +Installs: 5000 | Stars: 962 | Last update: 4 Feb 2022 Useful for developers who frequently read source in GitHub and do not want to download or checkout too many repositories. -Installs: 337410 | Stars: 22547 | Last update: 16 Aug 2023 +Installs: 337288 | Stars: 22548 | Last update: 16 Aug 2023 Revert GitHub's UI back to its classic look (before the June 23, 2020 update that has a flat, rounded and more whitespaced design). -Installs: 375 | Stars: 223 | Last update: 30 Apr 2023 +Installs: 377 | Stars: 224 | Last update: 30 Apr 2023 This browser extension allows you to open files in your IDE directly from GitHub, assuming the repository you are working on is cloned on your computer. When a fragment of a file is displayed, your IDE opens the file and puts the cursor at the desired line. -Installs: 1047 | Stars: 61 | Last update: 23 Sep 2023 +Installs: 1045 | Stars: 61 | Last update: 23 Sep 2023 Helps you keep track of incoming and outgoing PRs, and notifies you when you receive a pull request on GitHub. -Installs: 745 | Stars: 111 | Last update: 21 Jun 2023 +Installs: 743 | Stars: 111 | Last update: 21 Jun 2023 Browser extension that shows which pull requests contain changes related to a file. -Installs: 39 | Stars: 96 | Last update: 15 Oct 2020 +Installs: 43 | Stars: 96 | Last update: 15 Oct 2020 Extension that simplifies the GitHub interface and adds useful features. -Installs: 78472 | Stars: 21946 | Last update: 5 Oct 2023 +Installs: 78319 | Stars: 21971 | Last update: 5 Oct 2023 Are they tabs? Are they spaces? How many? Never wonder again! Renders spaces as `·` and tabs as `→` in all the code on GitHub. -Installs: 618 | Stars: 75 | Last update: 25 Aug 2018 +Installs: 608 | Stars: 75 | Last update: 25 Aug 2018 Introduces the Explore tab in the pull request interface where you can review changes ordered by importance and see the semantic context surrounding each change. @@ -293,7 +293,7 @@ The Sourcegraph browser extension gives GitHub IDE-like powers when you're viewi 4. Hover tooltips 5. File tree navigation -Installs: 101081 | Stars: 9051 | Last update: 9 Oct 2023 +Installs: 101056 | Stars: 9051 | Last update: 9 Oct 2023 Make tab indented code more readable by forcing the tab size to 4 instead of 8. @@ -303,7 +303,7 @@ Installs: 2000 | Stars: 280 | Last update: 25 Sep 2021 Helps you see easily which activities happened since you last visited GitHub. -Installs: 197 | Stars: 31 | Last update: n/a +Installs: 204 | Stars: 31 | Last update: n/a Generate a magic link for your PR and post it on shared Slack channel, to entice reviewers to pick up your PR faster! @@ -318,12 +318,12 @@ Installs: 70000 | Stars: n/a | Last update: 19 Oct 2023 All your issues, PRs, repos and other work documents right in your new tab -Installs: 20182 | Stars: n/a | Last update: 17 Oct 2023 +Installs: 20178 | Stars: n/a | Last update: 17 Oct 2023 file tree for github, and more than that. -Installs: 10424 | Stars: n/a | Last update: 12 Aug 2023 +Installs: 10414 | Stars: n/a | Last update: 12 Aug 2023 Add breakpoints at 1400px, 1600px and 1800px for full GitHub experience on large screens. Also removes the truncating of file and directory names in the repository browser. @@ -333,7 +333,7 @@ Installs: 2000 | Stars: 130 | Last update: 24 Jul 2020 gitpod streamlines developer workflows by providing ready-to-code development environments in your browser - powered by vs code. -Installs: 52469 | Stars: 124 | Last update: 18 Oct 2023 +Installs: 52426 | Stars: 124 | Last update: 18 Oct 2023 When viewing a repository on github.com that has a package.json file, this extension will introspect the dependencies in package.json and display links and description for each dependency, just below the repo's README. @@ -343,4 +343,4 @@ Installs: 2085 | Stars: 724 | Last update: 29 May 2023 Extends GitHub pages with math, diagrams, embedded YouTube videos etc. -Installs: 472 | Stars: 86 | Last update: 22 Aug 2023 \ No newline at end of file +Installs: 467 | Stars: 86 | Last update: 22 Aug 2023 \ No newline at end of file diff --git a/docs/awesome/awesome-cakephp.md b/docs/awesome/awesome-cakephp.md index 6fea42280b..ab445c2d1e 100644 --- a/docs/awesome/awesome-cakephp.md +++ b/docs/awesome/awesome-cakephp.md @@ -50,7 +50,7 @@ Additional lists you might find useful: - [Acl plugin](https://github.com/cakephp/acl/) - Managing ACL as database approach. - [ADmad/JwtAuth plugin](https://github.com/ADmad/cakephp-jwt-auth) - A plugin for authenticating using JSON Web Tokens. - 🍰 [ADmad/SocialAuth plugin](https://github.com/ADmad/cakephp-social-auth) - A plugin which allows you to authenticate using social providers like Facebook/Google/Twitter etc. using [SocialConnect/auth](https://github.com/SocialConnect/auth) social sign on library. -- [ApiTokenAuthenticator plugin](https://github.com/rrd108/api-token-authenticator) - A simple token authentication plugin for CakePHP REST APIs. +- 🍰 [ApiTokenAuthenticator plugin](https://github.com/rrd108/api-token-authenticator) - A simple token authentication plugin for CakePHP REST APIs. - 🍰 [Authentication plugin](https://github.com/cakephp/authentication) - Official CakePHP authentication middleware plugin. - 🍰 [Authorization plugin](https://github.com/cakephp/authorization) - Official CakePHP authorization stack. - 🍰 [CakeDC/Users plugin](https://github.com/CakeDC/users) - Complete user management (admin panel, remember me, etc), Social login (FB, Twitter, LinkedIn, Google, Instagram), RBAC, API and more. diff --git a/docs/awesome/awesome-cpp.md b/docs/awesome/awesome-cpp.md index bc651b1e96..5cdb7bbbb6 100644 --- a/docs/awesome/awesome-cpp.md +++ b/docs/awesome/awesome-cpp.md @@ -271,6 +271,7 @@ A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny * [robin-hood-hashing](https://github.com/martinus/robin-hood-hashing) - Fast & memory efficient hashtable based on robin hood hashing for C++14. [MIT] * [robin-map](https://github.com/Tessil/robin-map) - Fast hash map and hash set using robin hood hashing. [MIT] * [sparsepp](https://github.com/greg7mdp/sparsepp) - A fast, memory efficient hash map for C++. [BSD 3-clause] +* [svector](https://github.com/martinus/svector) - Compact SVO optimized vector for C++17 or higher. [MIT] * [unordered_dense](https://github.com/martinus/unordered_dense) - A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion. [MIT] ## Cryptography diff --git a/docs/awesome/awesome-datascience.md b/docs/awesome/awesome-datascience.md index 7535c90234..4900d299bc 100644 --- a/docs/awesome/awesome-datascience.md +++ b/docs/awesome/awesome-datascience.md @@ -5,7 +5,7 @@ [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) -**An open source Data Science repository to learn and apply towards solving real world problems.** +**An open-source Data Science repository to learn and apply towards solving real world problems.** This is a shortcut path to start studying **Data Science**. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" @@ -32,7 +32,7 @@ Data Science is one of the hottest topics on the Computer and Internet farmland | [What is Data Science @ O'reilly](https://www.oreilly.com/ideas/what-is-data-science) | _Data scientists combine entrepreneurship with patience, the willingness to build data products incrementally, the ability to explore, and the ability to iterate over a solution. They are inherently interdisciplinary. They can tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: “here’s a lot of data, what can you make from it?”_ | | [What is Data Science @ Quora](https://www.quora.com/Data-Science/What-is-data-science) | Data Science is a combination of a number of aspects of Data such as Technology, Algorithm development, and data interference to study the data, analyse it, and find innovative solutions to difficult problems. Basically Data Science is all about Analysing data and driving for business growth by finding creative ways. | | [The sexiest job of 21st century](https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century) | _Data scientists today are akin to Wall Street “quants” of the 1980s and 1990s. In those days people with backgrounds in physics and math streamed to investment banks and hedge funds, where they could devise entirely new algorithms and data strategies. Then a variety of universities developed master’s programs in financial engineering, which churned out a second generation of talent that was more accessible to mainstream firms. The pattern was repeated later in the 1990s with search engineers, whose rarefied skills soon came to be taught in computer science programs._ | -| [Wikipedia](https://en.wikipedia.org/wiki/Data_science) | _Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data._ | +| [Wikipedia](https://en.wikipedia.org/wiki/Data_science) | _Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data._ | | [How to Become a Data Scientist](https://www.mastersindatascience.org/careers/data-scientist/) | _Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations._ | | [a very short history of #datascience](https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/) | _The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._ | |[Software Development Resources for Data Scientists](https://www.rstudio.com/blog/software-development-resources-for-data-scientists/)|Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit from adopting software development best practices. Version control, automated testing, and other dev skills help create reproducible, production-ready code and tools.| @@ -40,7 +40,7 @@ Data Science is one of the hottest topics on the Computer and Internet farmland ## Where do I Start? **[`^ back to top ^`](#awesome-data-science)** -While not strictly necessary, having a programming language is a crucial skill to be effective as a data scientist. Currently, the most popular language is _Python_, closely followed by _R_. Python is a general-purpose scripting language which sees applications in a wide variety of fields. R is a domain-specific language for statistics, which contains a lot of common statistics tools out of the box. +While not strictly necessary, having a programming language is a crucial skill to be effective as a data scientist. Currently, the most popular language is _Python_, closely followed by _R_. Python is a general-purpose scripting language that sees applications in a wide variety of fields. R is a domain-specific language for statistics, which contains a lot of common statistics tools out of the box. [Python](https://python.org/) is by far the most popular language in science, due in no small part to the ease at which it can be used and the vibrant ecosystem of user-generated packages. To install packages, there are two main methods: Pip (invoked as `pip install`), the package manager that comes bundled with Python, and [Anaconda](https://www.anaconda.com) (invoked as `conda install`), a powerful package manager that can install packages for Python, R, and can download executables like Git. @@ -63,7 +63,7 @@ Data science is a powerful tool that is utilized in various fields to solve real ## Training Resources **[`^ back to top ^`](#awesome-data-science)** -How do you learn data science? By doing data science, of course! Okay, okay - that might not be particularly helpful when you're first starting out. In this section, we've listed some learning resources, in a rough order from least to greatest commitment - [Tutorials](#tutorials), [Massively Open Online Courses (MOOCs)](#moocs), [Intensive Programs](#intensive-programs), and [Colleges](#colleges). +How do you learn data science? By doing data science, of course! Okay, okay - that might not be particularly helpful when you're first starting out. In this section, we've listed some learning resources, in rough order from least to greatest commitment - [Tutorials](#tutorials), [Massively Open Online Courses (MOOCs)](#moocs), [Intensive Programs](#intensive-programs), and [Colleges](#colleges). ### Tutorials @@ -78,7 +78,7 @@ How do you learn data science? By doing data science, of course! Okay, okay - th - [Your Guide to Latent Dirichlet Allocation](https://medium.com/@lettier/how-does-lda-work-ill-explain-using-emoji-108abf40fa7d) - [Over 1000 Data Science Online Courses at Classpert Online Search Engine](https://classpert.com/search/data-science) - [Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard](https://github.com/handcraftsman/GeneticAlgorithmsWithPython) -- [Tutorials to get started on signal processings for machine learning](https://github.com/jinglescode/python-signal-processing) +- [Tutorials to get started on signal processing for machine learning](https://github.com/jinglescode/python-signal-processing) - [Realtime deployment](https://www.microprediction.com/python-1) Tutorial on Python time-series model deployment. - [Python for Data Science: A Beginner’s Guide](https://learntocodewith.me/posts/python-for-data-science/) - [Minimum Viable Study Plan for Machine Learning Interviews](https://github.com/khangich/machine-learning-interview) @@ -140,7 +140,7 @@ How do you learn data science? By doing data science, of course! Okay, okay - th - [Python for Data Science Foundation Course](https://intellipaat.com/academy/course/python-for-data-science-free-training/) - [Data Science: Statistics & Machine Learning](https://www.coursera.org/specializations/data-science-statistics-machine-learning) - [Machine Learning Engineering for Production (MLOps)](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops) -- [Recommender Systems Specialization from University of Minnesota](https://www.coursera.org/specializations/recommender-systems) is an intermediate/advanced level specialization focused on Recommender System on Coursera platform. +- [Recommender Systems Specialization from University of Minnesota](https://www.coursera.org/specializations/recommender-systems) is an intermediate/advanced level specialization focused on Recommender System on the Coursera platform. - [Stanford Artificial Intelligence Professional Program](https://online.stanford.edu/programs/artificial-intelligence-professional-program) - [Data Scientist with Python](https://app.datacamp.com/learn/career-tracks/data-scientist-with-python) - [Programming with Julia](https://www.udemy.com/course/programming-with-julia/) @@ -254,7 +254,7 @@ These are some Machine Learning and Data Mining algorithms and models help you t - EM - PageRank - AdaBoost -- kNN +- KNN - Naive Bayes - CART @@ -417,7 +417,7 @@ These are some Machine Learning and Data Mining algorithms and models help you t | [Hortonworks Sandbox](https://www.cloudera.com/downloads/hortonworks-sandbox.html) | is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials. | | [R](https://www.r-project.org/) | is a free software environment for statistical computing and graphics. | | [Tidyverse](https://www.tidyverse.org/) | is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. | -| [RStudio](https://www.rstudio.com) | IDE – powerful user interface for R. It’s free and open source, works on Windows, Mac, and Linux. | +| [RStudio](https://www.rstudio.com) | IDE – powerful user interface for R. It’s free and open source, and works on Windows, Mac, and Linux. | | [Python - Pandas - Anaconda](https://www.anaconda.com) | Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing | | [Pandas GUI](https://github.com/adrotog/PandasGUI) | Pandas GUI | | [Scikit-Learn](https://scikit-learn.org/stable/) | Machine Learning in Python | @@ -426,10 +426,10 @@ These are some Machine Learning and Data Mining algorithms and models help you t | [SciPy](https://scipy.org/) | SciPy works with NumPy arrays and provides efficient routines for numerical integration and optimization. | | [Data Science Toolbox](https://www.coursera.org/learn/data-scientists-tools) | Coursera Course | | [Data Science Toolbox](https://datasciencetoolbox.org/) | Blog | -| [Wolfram Data Science Platform](https://www.wolfram.com/data-science-platform/) | Take numerical, textual, image, GIS or other data and give it the Wolfram treatment, carrying out a full spectrum of data science analysis and visualization and automatically generating rich interactive reports—all powered by the revolutionary knowledge-based Wolfram Language. | +| [Wolfram Data Science Platform](https://www.wolfram.com/data-science-platform/) | Take numerical, textual, image, GIS or other data and give it the Wolfram treatment, carrying out a full spectrum of data science analysis and visualization and automatically generate rich interactive reports—all powered by the revolutionary knowledge-based Wolfram Language. | | [Datadog](https://www.datadoghq.com/) | Solutions, code, and devops for high-scale data science. | | [Variance](https://variancecharts.com/) | Build powerful data visualizations for the web without writing JavaScript | -| [Kite Development Kit](https://kitesdk.org/docs/current/index.html) | The Kite Software Development Kit (Apache License, Version 2.0) , or Kite for short, is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem. | +| [Kite Development Kit](https://kitesdk.org/docs/current/index.html) | The Kite Software Development Kit (Apache License, Version 2.0), or Kite for short, is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem. | | [Domino Data Labs](https://www.dominodatalab.com) | Run, scale, share, and deploy your models — without any infrastructure or setup. | | [Apache Flink](https://flink.apache.org/) | A platform for efficient, distributed, general-purpose data processing. | | [Apache Hama](https://hama.apache.org/) | Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce. | @@ -440,7 +440,7 @@ These are some Machine Learning and Data Mining algorithms and models help you t | [Data Mechanics](https://www.datamechanics.co) | A data science and engineering platform making Apache Spark more developer-friendly and cost-effective. | | [Caffe](https://caffe.berkeleyvision.org/) | Deep Learning Framework | | [Torch](https://torch.ch/) | A SCIENTIFIC COMPUTING FRAMEWORK FOR LUAJIT | -| [Nervana's python based Deep Learning Framework](https://github.com/NervanaSystems/neon) | . | +| [Nervana's python based Deep Learning Framework](https://github.com/NervanaSystems/neon) |. | | [Skale](https://github.com/skale-me/skale) | High performance distributed data processing in NodeJS | | [Aerosolve](https://airbnb.io/aerosolve/) | A machine learning package built for humans. | | [Intel framework](https://github.com/intel/idlf) | Intel® Deep Learning Framework | @@ -454,9 +454,9 @@ These are some Machine Learning and Data Mining algorithms and models help you t | [Apache Zeppelin](https://zeppelin.apache.org/) | Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more | | [Featuretools](https://github.com/alteryx/featuretools) | An open source framework for automated feature engineering written in python | | [Optimus](https://github.com/hi-primus/optimus) | Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend. | -| [Albumentations](https://github.com/albumentations-team/albumentations) | А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops. | +| [Albumentations](https://github.com/albumentations-team/albumentations) | А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, and detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops. | | [DVC](https://github.com/iterative/dvc) | An open-source data science version control system. It helps track, organize and make data science projects reproducible. In its very basic scenario it helps version control and share large data and model files. | -| [Lambdo](https://github.com/asavinov/lambdo) | is a workflow engine which significantly simplifies data analysis by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation. | +| [Lambdo](https://github.com/asavinov/lambdo) | is a workflow engine that significantly simplifies data analysis by combining in one analysis pipeline (i) feature engineering and machine learning (ii) model training and prediction (iii) table population and column evaluation. | | [Feast](https://github.com/feast-dev/feast) | A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving. | | [Polyaxon](https://github.com/polyaxon/polyaxon) | A platform for reproducible and scalable machine learning and deep learning. | | [LightTag](https://www.lighttag.io/) | Text Annotation Tool for teams | @@ -516,7 +516,7 @@ This section includes some additional reading material, channels to watch, and t - [Machine Learning from Scratch](https://dafriedman97.github.io/mlbook/content/introduction.html) - [Probabilistic Machine Learning: An Introduction](https://probml.github.io/pml-book/book1.html) - [A Comprehensive Guide to Machine Learning](https://www.eecs189.org/static/resources/comprehensive-guide.pdf) -- [How to Lead in Data Science](https://www.manning.com/books/how-to-lead-in-data-science) - Early access +- [How to Lead in Data Science](https://www.manning.com/books/how-to-lead-in-data-science) - Early Access - [Fighting Churn With Data](https://www.manning.com/books/fighting-churn-with-data) - [Data Science at Scale with Python and Dask](https://www.manning.com/books/data-science-with-python-and-dask) - [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/) @@ -529,7 +529,7 @@ This section includes some additional reading material, channels to watch, and t - [Exploring the Data Jungle](https://www.manning.com/books/exploring-the-data-jungle) - free eBook sampler - [Classic Computer Science Problems in Python](https://www.manning.com/books/classic-computer-science-problems-in-python) - [Math for Programmers](https://www.manning.com/books/math-for-programmers) Early access -- [R in Action, Third Edition](https://www.manning.com/books/r-in-action-third-edition) Early access +- [R in Action, Third Edition](https://www.manning.com/books/r-in-action-third-edition) Early Access - [Data Science Bookcamp](https://www.manning.com/books/data-science-bookcamp) Early access - [Data Science Thinking: The Next Scientific, Technological and Economic Revolution](https://www.springer.com/gp/book/9783319950914) - [Applied Data Science: Lessons Learned for the Data-Driven Business](https://www.springer.com/gp/book/9783030118204) @@ -545,7 +545,7 @@ This section includes some additional reading material, channels to watch, and t - [Global Optimization Algorithms: Theory and Application](https://www.it-weise.de/projects/book.pdf) - Free Download - [Genetic Algorithms and Evolutionary Computation](https://www.talkorigins.org/faqs/genalg/genalg.html) - Free Download - [Convex Optimization](https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf) - Convex Optimization book by Stephen Boyd - Free Download -- [Data Analysis with Python and PySpark](https://www.manning.com/books/data-analysis-with-python-and-pyspark) - Early access +- [Data Analysis with Python and PySpark](https://www.manning.com/books/data-analysis-with-python-and-pyspark) - Early Access - [R for Data Science](https://r4ds.had.co.nz/) - [Build a Career in Data Science](https://www.manning.com/books/build-a-career-in-data-science) - [Machine Learning Bookcamp](https://mlbookcamp.com/) - Early access @@ -553,13 +553,13 @@ This section includes some additional reading material, channels to watch, and t - [Effective Data Science Infrastructure](https://www.manning.com/books/effective-data-science-infrastructure) - [Practical MLOps: How to Get Ready for Production Models](https://valohai.com/mlops-ebook/) - [Data Analysis with Python and PySpark](https://www.manning.com/books/data-analysis-with-python-and-pyspark) -- [Regression, a Friendly guide](https://www.manning.com/books/regression-a-friendly-guide) - Early access +- [Regression, a Friendly guide](https://www.manning.com/books/regression-a-friendly-guide) - Early Access - [Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing](https://www.oreilly.com/library/view/streaming-systems/9781491983867/) - [Data Science at the Command Line: Facing the Future with Time-Tested Tools](https://www.oreilly.com/library/view/data-science-at/9781491947845/) - [Machine Learning - CIn UFPE](https://www.cin.ufpe.br/~cavmj/Machine%20-%20Learning%20-%20Tom%20Mitchell.pdf) - [Machine Learning with Python - Tutorialspoint](https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_tutorial.pdf) - [Deep Learning](https://www.deeplearningbook.org/) -- [Designing Cloud Data Platforms](https://www.manning.com/books/designing-cloud-data-platforms) - Early access +- [Designing Cloud Data Platforms](https://www.manning.com/books/designing-cloud-data-platforms) - Early Access - [An Introduction to Statistical Learning with Applications in R](https://www.statlearning.com/) - [The Elements of Statistical Learning: Data Mining, Inference, and Prediction](https://hastie.su.domains/ElemStatLearn/) - [Deep Learning with PyTorch](https://www.simonandschuster.com/books/Deep-Learning-with-PyTorch/Eli-Stevens/9781617295263) @@ -568,18 +568,18 @@ This section includes some additional reading material, channels to watch, and t - [Introduction to Machine Learning with Python](https://www.oreilly.com/library/view/introduction-to-machine/9781449369880/) - [Artificial Intelligence: Foundations of Computational Agents, 2nd Edition](https://artint.info/index.html) - Free HTML version - [The Quest for Artificial Intelligence: A History of Ideas and Achievements](https://ai.stanford.edu/~nilsson/QAI/qai.pdf) - Free Download -- [Graph Algorithms for Data Science](https://www.manning.com/books/graph-algorithms-for-data-science) - Early access -- [Data Mesh in Action](https://www.manning.com/books/data-mesh-in-action) - Early access -- [Julia for Data Analysis](https://www.manning.com/books/julia-for-data-analysis) - Early access -- [Casual Inference for Data Science](https://www.manning.com/books/julia-for-data-analysis) - Early access +- [Graph Algorithms for Data Science](https://www.manning.com/books/graph-algorithms-for-data-science) - Early Access +- [Data Mesh in Action](https://www.manning.com/books/data-mesh-in-action) - Early Access +- [Julia for Data Analysis](https://www.manning.com/books/julia-for-data-analysis) - Early Access +- [Casual Inference for Data Science](https://www.manning.com/books/julia-for-data-analysis) - Early Access - [Regular Expression Puzzles and AI Coding Assistants](https://www.manning.com/books/regular-expression-puzzles-and-ai-coding-assistants) by David Mertz - [Dive into Deep Learning](https://d2l.ai/) - [Data for All](https://www.manning.com/books/data-for-all) - [Interpretable Machine Learning: A Guide for Making Black Box Models Explainable](https://christophm.github.io/interpretable-ml-book/) - Free GitHub version - [Foundations of Data Science](https://www.cs.cornell.edu/jeh/book.pdf) Free Download - [Comet for DataScience: Enhance your ability to manage and optimize the life cycle of your data science project](https://www.amazon.com/Comet-Data-Science-Enhance-optimize/dp/1801814430) -- [Software Engineering for Data Scientists](https://www.manning.com/books/software-engineering-for-data-scientists) - Early access -- [Julia for Data Science](https://www.manning.com/books/julia-for-data-science) - Early access +- [Software Engineering for Data Scientists](https://www.manning.com/books/software-engineering-for-data-scientists) - Early Access +- [Julia for Data Science](https://www.manning.com/books/julia-for-data-science) - Early Access - [An Introduction to Statistical Learning](https://www.statlearning.com/) - Download Page - [Machine Learning For Absolute Beginners](https://www.amazon.in/Machine-Learning-Absolute-Beginners-Introduction-ebook/dp/B07335JNW1) @@ -607,7 +607,7 @@ This section includes some additional reading material, channels to watch, and t - [datatau.com/news](https://www.datatau.com/news) - Like Hacker News, but for data - [Data Science Trello Board](https://trello.com/b/rbpEfMld/data-science) - [Medium Data Science Topic](https://medium.com/tag/data-science) - Data Science related publications on medium -- [Towards Data Science Genetic Algorithm Topic](https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3#:~:text=A%20genetic%20algorithm%20is%20a,offspring%20of%20the%20next%20generation.) -Genetic Algorithm related Publications onTowards Data Science +- [Towards Data Science Genetic Algorithm Topic](https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3#:~:text=A%20genetic%20algorithm%20is%20a,offspring%20of%20the%20next%20generation.) -Genetic Algorithm related Publications towards Data Science - [all AI news](https://allainews.com/) - The AI/ML/Big Data news aggregator platform ### Newsletters @@ -642,7 +642,7 @@ This section includes some additional reading material, channels to watch, and t - [Quora Data Science](https://www.quora.com/topic/Data-Science) - Data Science Questions and Answers from experts - [Siah](https://openresearch.wordpress.com/) a PhD student at Berkeley - [Louis Dorard](https://www.ownml.co/blog/) a technology guy with a penchant for the web and for data, big and small -- [Machine Learning Mastery](https://machinelearningmastery.com/) about helping professional programmers to confidently apply machine learning algorithms to address complex problems. +- [Machine Learning Mastery](https://machinelearningmastery.com/) about helping professional programmers confidently apply machine learning algorithms to address complex problems. - [Daniel Forsyth](https://www.danielforsyth.me/) - Personal Blog - [Data Science Weekly](https://www.datascienceweekly.org/) - Weekly News Blog - [Revolution Analytics](https://blog.revolutionanalytics.com/) - Data Science Blog @@ -665,7 +665,7 @@ This section includes some additional reading material, channels to watch, and t - [Dataists](https://www.dataists.com/) - [Data-Mania](https://www.data-mania.com/) - [Data-Magnum](https://data-magnum.com/) -- [P-value](https://www.p-value.info/) - Musings on data science, machine learning and stats. +- [P-value](https://www.p-value.info/) - Musings on data science, machine learning, and stats. - [datascopeanalytics](https://datascopeanalytics.com/blog/) - [Digital transformation](https://tarrysingh.com/) - [datascientistjourney](https://datascientistjourney.wordpress.com/category/data-science/) @@ -687,7 +687,7 @@ This section includes some additional reading material, channels to watch, and t - [Dominodatalab](https://blog.dominodatalab.com/) - [i am trask](https://iamtrask.github.io/) - A Machine Learning Craftsmanship Blog - [Vademecum of Practical Data Science](https://datasciencevademecum.wordpress.com/) - Handbook and recipes for data-driven solutions of real-world problems -- [Dataconomy](https://dataconomy.com/) - A blog on the new emerging data economy +- [Dataconomy](https://dataconomy.com/) - A blog on the newly emerging data economy - [Springboard](https://www.springboard.com/blog/) - A blog with resources for data science learners - [Analytics Vidhya](https://www.analyticsvidhya.com/) - A full-fledged website about data science and analytics study material. - [Occam's Razor](https://www.kaushik.net/avinash/) - Focused on Web Analytics. @@ -826,7 +826,7 @@ Below are some Social Media links. Connect with other data scientists! | Twitter | Description | | --- | --- | | [Big Data Combine](https://twitter.com/BigDataCombine) | Rapid-fire, live tryouts for data scientists seeking to monetize their models as trading strategies | -| Big Data Mania | Data Viz Wiz , Data Journalist , Growth Hacker , Author of Data Science for Dummies (2015) | +| Big Data Mania | Data Viz Wiz, Data Journalist, Growth Hacker, Author of Data Science for Dummies (2015) | | [Big Data Science](https://twitter.com/analyticbridge) | Big Data, Data Science, Predictive Modeling, Business Analytics, Hadoop, Decision and Operations Research. | | Charlie Greenbacker | Director of Data Science at @ExploreAltamira | | [Chris Said](https://twitter.com/Chris_Said) | Data scientist at Twitter | @@ -859,19 +859,19 @@ Below are some Social Media links. Connect with other data scientists! | [Kevin Markham](https://twitter.com/justmarkham) | Data science instructor, and founder of [Data School](https://www.dataschool.io/) | | [Kim Rees](https://twitter.com/krees) | Interactive data visualization and tools. Data flaneur. | | [Kirk Borne](https://twitter.com/KirkDBorne) | DataScientist, PhD Astrophysicist, Top #BigData Influencer. | -| Linda Regber | Data story teller, visualizations. | +| Linda Regber | Data storyteller, visualizations. | | [Luis Rei](https://twitter.com/lmrei) | PhD Student. Programming, Mobile, Web. Artificial Intelligence, Intelligent Robotics Machine Learning, Data Mining, Natural Language Processing, Data Science. | -| Mark Stevenson | Data Analytics Recruitment Specialist at Salt (@SaltJobs) Analytics - Insight - Big Data - Datascience | +| Mark Stevenson | Data Analytics Recruitment Specialist at Salt (@SaltJobs) Analytics - Insight - Big Data - Data science | | [Matt Harrison](https://twitter.com/__mharrison__) | Opinions of full-stack Python guy, author, instructor, currently playing Data Scientist. Occasional fathering, husbanding, organic gardening. | | [Matthew Russell](https://twitter.com/ptwobrussell) | Mining the Social Web. | | [Mert Nuhoğlu](https://twitter.com/mertnuhoglu) | Data Scientist at BizQualify, Developer | | [Monica Rogati](https://twitter.com/mrogati) | Data @ Jawbone. Turned data into stories & products at LinkedIn. Text mining, applied machine learning, recommender systems. Ex-gamer, ex-machine coder; namer. | | [Noah Iliinsky](https://twitter.com/noahi) | Visualization & interaction designer. Practical cyclist. Author of vis books: https://www.oreilly.com/pub/au/4419 | | [Paul Miller](https://twitter.com/PaulMiller) | Cloud Computing/ Big Data/ Open Data Analyst & Consultant. Writer, Speaker & Moderator. Gigaom Research Analyst. | -| [Peter Skomoroch](https://twitter.com/peteskomoroch) | Creating intelligent systems to automate tasks & improve decisions. Entrepreneur, ex Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks | +| [Peter Skomoroch](https://twitter.com/peteskomoroch) | Creating intelligent systems to automate tasks & improve decisions. Entrepreneur, ex-Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks | | [Prash Chan](https://twitter.com/MDMGeek) | Solution Architect @ IBM, Master Data Management, Data Quality & Data Governance Blogger. Data Science, Hadoop, Big Data & Cloud. | | [Quora Data Science](https://twitter.com/q_datascience) | Quora's data science topic | -| [R-Bloggers](https://twitter.com/Rbloggers) | Tweet blog posts from the R blogosphere, data science conferences and (!) open jobs for data scientists. | +| [R-Bloggers](https://twitter.com/Rbloggers) | Tweet blog posts from the R blogosphere, data science conferences, and (!) open jobs for data scientists. | | [Rand Hindi](https://twitter.com/randhindi) | | | [Randy Olson](https://twitter.com/randal_olson) | Computer scientist researching artificial intelligence. Data tinkerer. Community leader for @DataIsBeautiful. #OpenScience advocate. | | [Recep Erol](https://twitter.com/EROLRecep) | Data Science geek @ UALR | @@ -880,7 +880,7 @@ Below are some Social Media links. Connect with other data scientists! | [Silvia K. Spiva](https://twitter.com/silviakspiva) | #DataScience at Cisco | | [Harsh B. Gupta](https://twitter.com/harshbg) | Data Scientist at BBVA Compass | | [Spencer Nelson](https://twitter.com/spenczar_n) | Data nerd | -| [Talha Oz](https://twitter.com/tozCSS) | Enjoys ABM, SNA, DM, ML, NLP, HI, Python, Java. Top percentile kaggler/data scientist | +| [Talha Oz](https://twitter.com/tozCSS) | Enjoys ABM, SNA, DM, ML, NLP, HI, Python, Java. Top percentile Kaggler/data scientist | | [Tasos Skarlatidis](https://twitter.com/anskarl) | Complex Event Processing, Big Data, Artificial Intelligence and Machine Learning. Passionate about programming and open-source. | | [Terry Timko](https://twitter.com/Terry_Timko) | InfoGov; Bigdata; Data as a Service; Data Science; Open, Social & Business Data Convergence | | [Tony Baer](https://twitter.com/TonyBaer) | IT analyst with Ovum covering Big Data & data management with some systems engineering thrown in. | @@ -888,7 +888,7 @@ Below are some Social Media links. Connect with other data scientists! | [Vamshi Ambati](https://twitter.com/vambati) | Data Science @ PayPal. #NLP, #machinelearning; PhD, Carnegie Mellon alumni (Blog: https://allthingsds.wordpress.com ) | | [Wes McKinney](https://twitter.com/wesmckinn) | Pandas (Python Data Analysis library). | | [WileyEd](https://twitter.com/WileyEd) | Senior Manager - @Seagate Big Data Analytics @McKinsey Alum #BigData + #Analytics Evangelist #Hadoop, #Cloud, #Digital, & #R Enthusiast | -| [WNYC Data News Team](https://twitter.com/datanews) | The data news crew at @WNYC. Practicing data-driven journalism, making it visual and showing our work. | +| [WNYC Data News Team](https://twitter.com/datanews) | The data news crew at @WNYC. Practicing data-driven journalism, making it visual, and showing our work. | | [Alexey Grigorev](https://twitter.com/Al_Grigor) | Data science author | | [İlker Arslan](https://twitter.com/ilkerarslan_35) | Data science author. Shares mostly about Julia programming | | [INEVITABLE](https://twitter.com/WeAreInevitable) | AI & Data Science Start-up Company based in England, UK | diff --git a/docs/awesome/awesome-directus.md b/docs/awesome/awesome-directus.md index 0380fbd8dd..1aa006eb08 100644 --- a/docs/awesome/awesome-directus.md +++ b/docs/awesome/awesome-directus.md @@ -72,6 +72,10 @@ - [Directus Copilot](https://github.com/programmarchy/directus-extension-copilot/) - A bundle including a panel to ask data-aware questions in a chat interface. - [OpenAI Automatic Translation](https://github.com/timio23/directus-operation-auto-translate/) - An operaiton to automatically translate new items via OpenAI. - [Machine Learning Operations](https://github.com/karamokoisrael/directus-hackathon-submission/) - A set of extensions to train, test and use machine learning models. +- [Tab Group](https://github.com/formfcw/directus-extension-tab-group) - A group interface with a tab menu for toggling the visibility of fields within the group. +- [Drawer Notice](https://github.com/formfcw/directus-extension-drawer-notice) - A notice field that is only visible in the drawer. +- [Classified Group](https://github.com/formfcw/directus-extension-classified-group) - A group to which a class can be assigned for custom styling. +- [Tokenized Preview](https://github.com/formfcw/directus-extension-tokenized-preview) - An endpoint that adds an active auth token to your preview URL. ## Articles diff --git a/docs/awesome/awesome-dotnet-core.md b/docs/awesome/awesome-dotnet-core.md index 473c4bdd42..dab76d2d98 100644 --- a/docs/awesome/awesome-dotnet-core.md +++ b/docs/awesome/awesome-dotnet-core.md @@ -543,6 +543,7 @@ Follows best practices and conventions to provide you a SOLID development experi * [EntityFramework.PrimaryKey](https://github.com/NickStrupat/EntityFramework.PrimaryKey) - Easily get the primary key of any entity (including composite keys). * [EntityFramework.TypedOriginalValues](https://github.com/NickStrupat/EntityFramework.TypedOriginalValues) - Get a proxy object of the original values of your entity (typed access to Property("...").OriginalValue). * [EntityFramework.VersionedProperties](https://github.com/NickStrupat/EntityFramework.VersionedProperties) - Classes which auto-magically keep an audit history of the changes to the specified property. + * [EntityFrameworkCore.SqlServer.SimpleBulks](https://github.com/phongnguyend/EntityFrameworkCore.SqlServer.SimpleBulks) - Simple library that can help to sync a large number of records in-memory into the database. Lambda Expression is supported. * [LINQKit](https://github.com/scottksmith95/LINQKit) - A free set of extensions for LINQ to SQL and Entity Framework power users. * [Pomelo.EntityFrameworkCore.MySql](https://github.com/PomeloFoundation/Pomelo.EntityFrameworkCore.MySql) - Entity Framework Core provider for MySql built on top of mysql-net/MySqlConnector. * [spectre.query](https://github.com/spectresystems/spectre.query) - A simple query language for Entity Framework Core. diff --git a/docs/awesome/awesome-dotnet.md b/docs/awesome/awesome-dotnet.md index 79db62cacd..b1ea87b0ca 100644 --- a/docs/awesome/awesome-dotnet.md +++ b/docs/awesome/awesome-dotnet.md @@ -829,6 +829,7 @@ metadata in media files, including video, audio, and photo formats * [Entity Framework 6](https://github.com/dotnet/ef6) - Object-relational mapper that enables .NET developers to work with relational data using domain-specific objects * [Entity Framework Core](https://github.com/dotnet/efcore) - Object-relational mapper that enables .NET developers to work with relational data using domain-specific objects * [EntityFramework.Exceptions](https://github.com/Giorgi/EntityFramework.Exceptions) - Use typed Exceptions for Entity Framework Core when your SQL query violates database constraints in SqlServer, MySql, PostgreSQL or SQLite +* [EntityFrameworkCore.SqlServer.SimpleBulks](https://github.com/phongnguyend/EntityFrameworkCore.SqlServer.SimpleBulks) - Simple library that can help to sync a large number of records in-memory into the database. Lambda Expression is supported. * [EFCore.BulkExtensions](https://github.com/borisdj/EFCore.BulkExtensions) - Entity Framework Core Bulk Extensions for super fast (BulkCopy) CRUD ops + SaveChanges on multiple DBs: SQL, PG, My, Lite. * [Dapper](https://github.com/StackExchange/Dapper) - A simple object mapper for .NET by [StackExchange](https://stackexchange.github.io/) * [Dapper Extensions](https://github.com/tmsmith/Dapper-Extensions) - Small library that complements Dapper by adding basic CRUD operations (Get, Insert, Update, Delete) for your POCOs diff --git a/docs/awesome/awesome-graphql.md b/docs/awesome/awesome-graphql.md index 0541f77d4a..b7921f95a1 100644 --- a/docs/awesome/awesome-graphql.md +++ b/docs/awesome/awesome-graphql.md @@ -823,6 +823,7 @@ If you want to contribute to this list (please do), send me a pull request. - [Undocumented: keeping parts of your GraphQL schema hidden from introspection](https://www.useanvil.com/blog/engineering/undocumented-directive/) - [GraphQL Subscriptions with Apache Kafka in Ballerina](https://medium.com/ballerina-techblog/graphql-subscriptions-with-apache-kafka-in-ballerina-b3c296d333cd) - [How to Test your GraphQL Endpoints](https://escape.tech/blog/8-most-common-graphql-vulnerabilities/) +- [Why Automatic Persisted Queries Don't Scale](https://blog.tailcall.run/the-truth-about-scaling-automatic-persisted-queries/) diff --git a/docs/awesome/awesome-ipfs.md b/docs/awesome/awesome-ipfs.md index 3813b89939..a18d4058b5 100644 --- a/docs/awesome/awesome-ipfs.md +++ b/docs/awesome/awesome-ipfs.md @@ -49,6 +49,7 @@ A list of web browsers with IPFS integrations - [bifrost-gateway](https://github.com/ipfs/bifrost-gateway) - [EXPERIMENTAL] A lightweight IPFS Gateway daemon backed by a remote data store. - [create-ipfs-app](https://github.com/alexbakers/create-ipfs-app) - Set up a decentralized web3 app by running one command. - [dScan](https://github.com/p2plabsxyz/dscan) - A browser extension that uploads the content to Web3.Storage and generates QR codes for CIDs. +- [dump-ipfs](https://github.com/quasarch/dump-ipfs) - A decentralized encrypted backup agent for popular databases supported by IPFS and Filecoin. - [gatsby-plugin-ipfs](https://github.com/moxystudio/gatsby-plugin-ipfs) - Adds support for deploying Gatsby websites to IPFS by ensuring that assets are relative. - [git-ipfs-rehost](https://github.com/whyrusleeping/git-ipfs-rehost) - A script to rehost your git repos in ipfs. - [git-remote-ipfs](https://github.com/cryptix/git-remote-ipfs) - push/pull repositories from/to IPFS. diff --git a/docs/awesome/awesome-jax.md b/docs/awesome/awesome-jax.md index 325c3660be..3dea7517a4 100644 --- a/docs/awesome/awesome-jax.md +++ b/docs/awesome/awesome-jax.md @@ -102,6 +102,8 @@ This section contains libraries that are well-made and useful, but have not nece - [BrainPy](https://raw.githubusercontent.com/brainpy/BrainPy) - Brain Dynamics Programming in Python. - [OTT-JAX](https://raw.githubusercontent.com/ott-jax/ott) - Optimal transport tools in JAX. - [QDax](https://raw.githubusercontent.com/adaptive-intelligent-robotics/QDax) - Quality Diversity optimization in Jax. +- [JAX Toolbox](https://raw.githubusercontent.com/NVIDIA/JAX-Toolbox) - Nightly CI and optimized examples for JAX on NVIDIA GPUs using libraries such as T5x, Paxml, and Transformer Engine. +- [Pgx](http://raw.githubusercontent.com/sotetsuk/pgx) - Vectorized board game environments for RL with an AlphaZero example. @@ -214,6 +216,7 @@ This section contains papers focused on JAX (e.g. JAX-based library whitepapers, - [Using JAX to accelerate our research by David Budden and Matteo Hessel](https://deepmind.com/blog/article/using-jax-to-accelerate-our-research) - Describes the state of JAX and the JAX ecosystem at DeepMind. - [Getting started with JAX (MLPs, CNNs & RNNs) by Robert Lange](https://roberttlange.github.io/posts/2020/03/blog-post-10/) - Neural network building blocks from scratch with the basic JAX operators. +- [Learn JAX: From Linear Regression to Neural Networks by Rito Ghosh](https://www.kaggle.com/code/truthr/jax-0) - A gentle introduction to JAX and using it to implement Linear and Logistic Regression, and Neural Network models and using them to solve real world problems. - [Tutorial: image classification with JAX and Flax Linen by 8bitmp3](https://github.com/8bitmp3/JAX-Flax-Tutorial-Image-Classification-with-Linen) - Learn how to create a simple convolutional network with the Linen API by Flax and train it to recognize handwritten digits. - [Plugging Into JAX by Nick Doiron](https://medium.com/swlh/plugging-into-jax-16c120ec3302) - Compares Flax, Haiku, and Objax on the Kaggle flower classification challenge. - [Meta-Learning in 50 Lines of JAX by Eric Jang](https://blog.evjang.com/2019/02/maml-jax.html) - Introduction to both JAX and Meta-Learning. diff --git a/docs/awesome/awesome-neovim.md b/docs/awesome/awesome-neovim.md index 3d90006918..1b1040a725 100644 --- a/docs/awesome/awesome-neovim.md +++ b/docs/awesome/awesome-neovim.md @@ -75,6 +75,7 @@ - [hinell/lsp-timeout.nvim](https://github.com/hinell/lsp-timeout.nvim) - Automatically start/stop idle/unused LSP servers; keeps RAM usage low. - [nvimtools/none-ls.nvim](https://github.com/nvimtools/none-ls.nvim) - Null-ls.nvim reloaded / Use Neovim as a language server to inject LSP diagnostics, code actions, and more via Lua. - [vxpm/ferris.nvim](https://github.com/vxpm/ferris.nvim) - Interact with Rust-Analyzer's LSP extensions. +- [mrcjkb/rustaceanvim](https://github.com/mrcjkb/rustaceanvim) - A heavily modified fork of rust-tools.nvim that does not require a `setup` call and does not depend on nvim-lspconfig. #### LSP Installer @@ -993,6 +994,7 @@ These colorschemes may not specialize in Tree-sitter directly but are written in - [doctorfree/nvim-lazyman](https://github.com/doctorfree/nvim-lazyman) - Neovim configuration manager and modular configuration, supports over 40 preconfigured configurations. - [NormalNvim/NormalNvim](https://github.com/NormalNvim/NormalNvim) - Focused on stability for your daily work. From the creator of Compiler.nvim. - [chrisgrieser/nvim-kickstart-python](https://github.com/chrisgrieser/nvim-kickstart-python) - A launch point for your Neovim configuration for Python. +- [mrcjkb/kickstart-nix.nvim](https://github.com/mrcjkb/kickstart-nix.nvim) - A simple [Nix flake](https://nixos.wiki/wiki/Flakes) template repo for Neovim derivations, with the goal of simplifying the migration from existing Neovim configurations. ## External diff --git a/docs/awesome/awesome-playcanvas.md b/docs/awesome/awesome-playcanvas.md index 67f6cad893..2ee51be441 100644 --- a/docs/awesome/awesome-playcanvas.md +++ b/docs/awesome/awesome-playcanvas.md @@ -122,6 +122,7 @@ - [Bullet Bonanza](https://www.bulletbonanza.io/) - Fast paced, high fidelity, 3D Multiplayer FPS game from Kiloo. - [Fields of Fury](https://www.fieldsoffury.io/) - Capture the flag set during WW2. +- [GUMMYZ](https://gummyz.fitfuns.com) - Sword-swinging multiplayer combat game. - [Ink Wars](https://playcanv.as/p/YvyiZeqL/) - Paint faster than your opponents to win the round. - [Mini Royale: Nations](https://miniroyale.io/) - Battle Royale first person shooter. - [Robostorm](https://robostorm.io/) - Frenetic online multiplayer mech battle game. diff --git a/docs/awesome/awesome-scriptable.md b/docs/awesome/awesome-scriptable.md index ba6272caf5..ffa432861e 100644 --- a/docs/awesome/awesome-scriptable.md +++ b/docs/awesome/awesome-scriptable.md @@ -172,6 +172,10 @@ - [nfl-team-schedule-widget](https://github.com/brianwalborn/nfl-team-schedule-widget) - The current season schedule for an NFL team. - [rsg_group_mcfit_high5_johnreed_capacity_widget.js](https://gist.github.com/masselmello/6d4f4c533b98b2550ee23a7a5e6c6cff) - Capacity of the nearest McFit gym. + +- [Scriptable-lichess-Widget](https://github.com/bestmacfly/Scriptable-lichess-Widget) - Your current lichess statistics. + + - [skiable](https://github.com/p0fi/skiable-for-scriptable) - Skiing information like snow height or the number of open lifts. diff --git a/docs/awesome/awesome-selfhosted.md b/docs/awesome/awesome-selfhosted.md index be0cc93261..20db901f44 100644 --- a/docs/awesome/awesome-selfhosted.md +++ b/docs/awesome/awesome-selfhosted.md @@ -90,7 +90,7 @@ _Related: [Internet of Things (IoT)](#internet-of-things-iot), [Software Develop - [Automatisch](https://automatisch.io) - Business automation tool that lets you connect different services like Twitter, Slack, and more to automate your business processes (alternative to Zapier). ([Source Code](https://github.com/automatisch/automatisch)) `AGPL-3.0` `Docker` - [betanin](https://github.com/sentriz/betanin) - Music organization man-in-the-middle of your torrent client and music player. Based on beets.io, similar to Sonarr and Radarr. `GPL-3.0` `Python/Docker` - [ChiefOnboarding](https://chiefonboarding.com) - Employee onboarding platform that allows you to provision user accounts and create sequences with todo items, resources, text/email/Slack messages, and more! Available as a web portal and Slack bot. ([Source Code](https://github.com/chiefonboarding/ChiefOnboarding)) `AGPL-3.0` `Docker` -- [Eonza](https://www.eonza.org) - Eonza is used to create scripts and automate tasks on servers or VPS hosting. Manage your servers from any browser on any device. ([Demo](https://playground.eonza.org/), [Source Code](https://github.com/gentee/eonza)) `MIT` `Go` +- [Eonza](https://www.eonza.org) - Eonza is used to create scripts and automate tasks on servers or VPS hosting. Manage your servers from any browser on any device. ([Source Code](https://github.com/gentee/eonza)) `MIT` `Go` - [Exadel CompreFace](https://exadel.com/solutions/compreface/) - Face recognition system that provides REST API for face recognition, face detection, and other face services, and is easily deployed with docker. There are SDKs for Python and JavaScript languages. Can be used without prior machine learning skills. ([Source Code](https://github.com/exadel-inc/CompreFace)) `Apache-2.0` `Docker/Java/Nodejs` - [feed2toot](https://feed2toot.readthedocs.io/en/latest/) - Feed2toot parses a RSS feed, extracts the last entries and sends them to Mastodon. ([Source Code](https://gitlab.com/chaica/feed2toot)) `GPL-3.0` `Python` - [feedmixer](https://github.com/cristoper/feedmixer) - FeedMixer is a WSGI (Python3) micro web service which takes a list of feed URLs and returns a new feed consisting of the most recent n entries from each given feed(Returns Atom, RSS, or JSON). ([Demo](https://mretc.net/feedmixer/json?f=https://hnrss.org/newest&f=https://americancynic.net/atom.xml&n=1)) `WTFPL` `Python` diff --git a/docs/awesome/free-for-dev.md b/docs/awesome/free-for-dev.md index 8b9faf8ded..8fe39c260e 100644 --- a/docs/awesome/free-for-dev.md +++ b/docs/awesome/free-for-dev.md @@ -221,6 +221,7 @@ This list results from Pull Requests, reviews, ideas, and work done by 1100+ peo * [IP2Location](https://www.ip2location.com) — Freemium IP geolocation service. LITE database is available for free download. Import the database in the server and perform a local query to determine the city, coordinates, and ISP information. * [IP2Location.io](https://www.ip2location.io/) — Freemium, fast and reliable IP geolocation API to determine geolocation data like city, coordinates, ISP, etc. The free plan is available with 30k credits per month. Subscribe to paid plans for more advanced features or contact us for a personalized plan. * [ipapi](https://ipapi.co/) - IP Address Location API by Kloudend, Inc - A reliable geolocation API built on AWS, trusted by Fortune 500. The free tier offers 30k lookups/month (1k/day) without signup. + * [ipapi.is](https://ipapi.is/) - A reliable IP Address API from Developers for Developers with the best Hosting Detection capabilities that exist. The free plan offers 1000 lookups without signup. * [IPinfo](https://ipinfo.io/) — Fast, accurate, and free (up to 50k/month) IP address data API. Offers APIs with details on geolocation, companies, carriers, IP ranges, domains, abuse contacts, and more. All paid APIs can be trialed for free. * [IPList](https://www.iplist.cc) — Lookup details about any IP address, such as Geo IP information, tor addresses, hostnames, and ASN details. Free for personal and business users. * [BigDataCloud](https://www.bigdatacloud.com/) - Provides fast, accurate, and free (Unlimited or up to 10K-50K/month) APIs for modern web like IP Geolocation, Reverse Geocoding, Networking Insights, Email and Phone Validation, Client Info and more. @@ -538,6 +539,7 @@ This list results from Pull Requests, reviews, ideas, and work done by 1100+ peo * [loadmill.com](https://www.loadmill.com/) - Automatically create API and load tests by analyzing network traffic. Simulate up to 50 concurrent users for up to 60 minutes for free monthly. * [preflight.com](https://preflight.com) - No-code automated web testing. Record tests on your browser that are resilient to UI changes and run them on Windows machines. Could you integrate with your CI/CD? The free plan includes 50 monthly test runs with video, HTML sessions, and more. * [percy.io](https://percy.io) - Add visual testing to any web app, static site, style guide, or component library. Unlimited team members, Demo app, and unlimited projects, 5,000 snapshots/month. + * [lost-pixel.com](https://lost-pixel.com) - holistic visual regression testing for your Storybook, Ladle, Histoire stories and Web Apps. Unlimited team members, totally free for open-source, 7,000 snapshots/month. * [saucelabs.com](https://saucelabs.com/) — Cross-browser, Selenium, and mobile testing. The free plan includes 2000 credits per week. They also provide free licenses for selected open-source projects, which can be requested [here](https://opensource.saucelabs.com/). * [seotest.me](https://seotest.me/) — Free on-page SEO website tester. 10 free website crawls per day. Useful SEO learning resources and recommendations on how to improve the on-page SEO results for any website regardless of technology. * [snippets.uilicious.com](https://snippets.uilicious.com) - It's like CodePen but for cross-browser testing. UI-licious lets you write tests like user stories and offers a free platform - UI-licious Snippets - that allows you to run unlimited tests on Chrome with no sign-up required for up to 3 minutes per test run. Found a bug? You can copy the unique URL to your test to show your devs exactly how to reproduce the bug.