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openai openai-cookbook
Examples and guides for using the OpenAI API
Stars
75,724
Forks
12,799
Watchers: 75,724
Language
License: MIT License
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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✨ 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.
MIT License
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.