# GitHub as a Gemini Notebook source

> READMEs, docs folders and wikis are strong sources for how a tool actually works — paste the rendered page URL.


_Markdown version of https://gemini-notebook-hub.online/sources/github — for AI and LLM crawlers. Content is identical to the web page._

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- Site: [github.com](https://github.com/)
- Category: Code & ML research
- Access: free

READMEs, docs folders and wikis are strong sources for how a tool actually works — paste the rendered page URL.

A maintainer's own README explains how a tool is meant to be used more reliably than a third-party blog tutorial written around it, and wikis or docs folders often carry detail that never made it into official documentation. That makes it a strong source for a notebook built around a specific library's real behavior. Check the repository's last commit date before trusting a README, since abandoned projects' docs can describe options that no longer exist.

## Import into Gemini Notebook

1. Copy the link: https://github.com/
2. In your notebook, click Add source → Website.
3. Paste the link and confirm — several links can be pasted at once, one per line.

**Tip:** Documentation pages import better than repositories: paste a project's docs URL or README page, not the repo root.

## More code & ml research sources

- [Papers with Code](https://gemini-notebook-hub.online/sources/papers-with-code.md) — ML papers matched to their implementations and benchmarks — import the paper page and the README together.
- [Hugging Face Papers](https://gemini-notebook-hub.online/sources/hugging-face-papers.md) — A daily-curated feed of AI research, each paper with a discussion page that adds context.
- [MDN Web Docs](https://gemini-notebook-hub.online/sources/mdn-web-docs.md) — The reference for web platform APIs — reliable ground truth for a web-dev notebook.
- [Stack Exchange](https://gemini-notebook-hub.online/sources/stack-exchange.md) — Accepted answers on the technical sites make good targeted sources for narrow questions.