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Here's what's popular on GitHub today...

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Rubber Duck Thursdays

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Join us for Rubber Duck Thursdays! A lighthearted and informal stream where we work on some projects and do some live coding.

Call for projects

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Be part of the Open Source Zone and showcase your project to thousands of developers, contributors, and industry leaders in San Francisco. Whether you're building solo or with a team, this is your chance to demo live, spark connections, and grow your impact.

What’s included:

✔️ Free GitHub Universe ticket for you and a friend
✔️ Dedicated demo space for your project
✔️ Chances to swap stories, ideas, and maybe stickers with fellow contributors, big tech, industry heavyweights, and more ✨

Apply now

Popular topic

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Nim

Nim is a statically typed, compiled, garbage-collected systems programming language.

This recommendation was created by GitHub staff

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Cirrus CI

Cirrus CI makes your development cycle fast, efficient, and secure by leveraging modern cloud technologies. Cirrus CI scales with your team and makes shipping software faster and cheaper.

Trending repository

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Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  • Updated Jun 7, 2025
  • TypeScript

Trending repository

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Self-hosted collection of powerful web-based tools for everyday tasks. No ads, no tracking, just fast, accessible utilities right from your browser!

  • Updated Jun 8, 2025
  • TypeScript

This recommendation was created by GitHub staff

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Coveralls

Coveralls.io: Deliver Better Code

We help you deliver code confidently by showing which parts of your code aren’t covered by your test suite.

Eliminate Tech Debt

Maintaining a well-tested codebase is mission-critical, but figuring out where your tests are lacking can be painful. You're already running your tests on a continuous integration server, let it do the heavy lifting. Coveralls works with your CI to sift through coverage data to find gaps you didn't know you had.