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openai openai-cookbook

Examples and guides for using the OpenAI API

Stars

75,724

Popular Active

Forks

12,799

Watchers: 75,724

Repository Radar Score

64 / 100

Growth

7d
+0
30d
+0
%
0.0%

Not enough metric snapshots yet to chart growth for this repository.

Score breakdown

  • popularity 91
  • growth 0
  • activity 100
  • freshness 100
  • community 64

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OpenAI Cookbook Logo

✨ Navigate at cookbook.openai.com

Example code and guides for accomplishing common tasks with the OpenAI API. To run these examples, you'll need an OpenAI account and associated API key (create a free account here). Set an environment variable called OPENAI_API_KEY with your API key. Alternatively, in most IDEs such as Visual Studio Code, you can create an .env file at the root of your repo containing OPENAI_API_KEY=<your API key>, which will be picked up by the notebooks.

Most code examples are written in Python, though the concepts can be applied in any language.

For other useful tools, guides and courses, check out these related resources from around the web.

License

MIT License

Created: Mar 11, 2022

Last push: Sep 3, 2026

Default branch: main

Languages

Share of the codebase by language, based on repository metadata from the host.

  • Jupyter Notebook 93.1%
  • MDX 6.9%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • High absolute popularity (75,724 stars) signals broad adoption.
  • Maintained recently (last push 2 weeks ago).

Who should use it

  • Developers working primarily with Jupyter Notebook
  • Teams exploring AI tooling, agents, or ML infrastructure
  • Backend engineers shipping APIs and product backends

Potential use cases

  • Reference or evaluate Jupyter Notebook open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures

Strengths

  • Recent repository activity
  • README present in our index
  • Declared license: MIT License
  • Substantial fork count (12,799) suggests reuse and contribution interest

Limitations / considerations

  • Insights are derived from public metadata and our observations — not a substitute for code review

What to watch

  • Re-check last push, issues, and releases on GitHub before production adoption

Strong signals: Strong community interest · Active maintenance

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

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