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App / Software github trending Mar 16–Mar 22, 2026
Top 10 GitHub — Trending Python — Mar 9–Mar 15, 2026
The 10 Python repositories that topped GitHub Trending during the week of Mar 9–Mar 15, 2026. This snapshot pulls directly from GitHub's trending feed and ranks repos by star velocity — the rate at which developers are starring each project in real time. Inside you'll find foundational learning resources (free-programming-books, TheAlgorithms/Python), production-grade frameworks (transformers, langchain, langflow), and tooling (yt-dlp, open-webui). Vote for the repo you find most useful, and subscribe for the weekly recap.
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How were these repositories selected?
This list aggregates Python repositories from GitHub's Trending feed for the week of Mar 9–Mar 15, 2026. Rankings are based on star velocity — the rate at which projects receive new stars during this period. All repositories listed are open-source Python projects that gained significant developer attention during this timeframe.
How is this list compiled?
## How is this list compiled?
This list is auto-generated weekly from the GitHub Trending feed, filtered to Python repositories. GitHub ranks trending repos by star velocity — the number of new stars each repository receives during the snapshot window, not its total star count.
## How often is it refreshed?
The list refreshes once per week. Each weekly edition is preserved as a separate page (the slug includes the year and ISO week number).
## Can I suggest a repository?
No. The list is a direct mirror of GitHub's trending algorithm. To influence rankings, star the repository on GitHub during the active week.
## Why are some well-known repos missing?
GitHub's trending feed surfaces repositories gaining stars fastest within a 7-day window. Established repos with steady-but-slow star growth often fall outside the trending cutoff.
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Trend Analysis
The top 10 this week is a Python parade with zero diversity in language—that's a shocker even by GitHub's standards. The dominant category is clearly AI/ML tooling: AutoGPT, transformers, langchain, langflow, and open-webui occupy 5 slots. But the surprise is that open-webui and langflow, both relative newcomers, have leapfrogged established players like yt-dlp (a YouTube downloader) and even the legendary free-programming-books. What does this reveal? Developers are tired of complex command-line setups—they want drag-and-drop AI interfaces. yt-dlp's persistent presence (#7) reminds us that media consumption tools are still vital, but the real hunger is for accessible AI. The absence of any JavaScript or Rust repo feels like a warning shot: for weekly trends, Python is eating everything. Looking ahead, expect visual AI builders like langflow to dethrone traditional code-first libraries within the next quarter.
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