Top 10 GitHub — Trending Python — Sep 7–Sep 13, 2026
Python has consolidated its grip on the open-source ecosystem, with all ten repositories on this week's GitHub trending list written in a single language. The week of September 7–13, 2026 reveals a developer community that is simultaneously educational and ambitious — building AI agents while cataloguing public APIs and free programming books. public-apis/public-apis leads with 476,705 stars, serving as the definitive directory for developers hunting free API endpoints. Meanwhile, EbookFoundation/free-programming-books has accumulated 667,422 forks — the highest fork count on this entire list — signaling that foundational learning resources still drive massive collaborative effort. NousResearch/hermes-agent breaks into the top five with 242,783 stars, reflecting surging interest in agentic AI frameworks. Trending repositories on GitHub capture raw developer activity — stars indicate popularity, forks indicate community contribution — and together they paint a picture of where minds are focused right now. This list reflects what developers were starring, forking, and building during a single week in September 2026.
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Current Rankings
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public-apis/public-apis holds the top position this week with 476,705 stars, serving as a curated index of free APIs that developers consult when building integrations without starting from scratch.
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EbookFoundation/free-programming-books claims second place with 667,422 forks — the most on this list — and 396,160 stars, functioning as a community-maintained library of free learning materials across dozens of languages and topics.
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vinta/awesome-python sits third with 318,956 stars, aggregating the best Python libraries, frameworks, and tools into a single well-organized list that serves as a starting point for any Python project.
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practical-tutorials/project-based-learning ranks fourth with 282,404 stars, offering guided project tutorials that teach programming concepts through hands-on builds rather than abstract instruction.
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NousResearch/hermes-agent debuts in the top five with 242,783 stars, providing an agentic framework for autonomous task completion that reflects the explosive developer interest in AI that acts without constant human prompting.
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TheAlgorithms/Python holds sixth position with 224,337 stars, offering implementations of classic computer science algorithms in Python for learners and reference seekers alike.
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Significant-Gravitas/AutoGPT ranks seventh with 187,177 stars, pioneering the concept of AI agents that chain prompts together to accomplish complex goals with minimal human intervention.
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microsoft/markitdown reaches eighth with 179,115 stars, a Microsoft-built tool that converts various document formats into clean Markdown, addressing the practical friction of working with AI-generated or legacy documents.
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anthropics/skills lands ninth with 174,943 stars, a collection from Anthropic that provides structured examples of how to prompt Claude effectively for specific real-world tasks.
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huggingface/transformers closes the list with 164,937 stars, Hugging Face's flagship library that provides pretrained models and a shared interface for working with text, images, and audio in machine learning projects.
Trend Analysis
This week's top ten reveals three distinct currents in the developer ecosystem. First, resource aggregation dominates: public-apis, free-programming-books, and awesome-python together account for over 990,000 stars, proving that curated compilations remain among the most broadly useful projects in open source. Second, AI agent development has reached mainstream velocity — NousResearch/hermes-agent, AutoGPT, anthropics/skills, and huggingface/transformers all sit in positions 5–10, collectively representing the infrastructure layer for autonomous AI systems. Third, Microsoft has carved out unexpected territory with markitdown, a document conversion tool reaching 179,115 stars, suggesting productivity tooling around AI-generated content is becoming a genuine need. The complete absence of JavaScript, Rust, Go, or any other language on this list is itself remarkable and points to a moment where the Python ecosystem is absorbing nearly all the newcomer energy in AI and developer tooling. Expect this concentration to test as the year closes and alternative AI frameworks mature.
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