OpenAI's official API cookbook: high stars, low fluff
Official Python notebooks and guides for common OpenAI API tasks.

What it does
This is OpenAI’s official collection of example code and guides for common API tasks. Most examples are Python notebooks, though the underlying ideas are meant to translate to any language. Everything is bound to the live OpenAI platform and requires an active API key.
The interesting bit
The README is almost aggressively concise for a repository of this size: it drops a logo, links to the companion website, notes the API key requirement, and exits stage left.
Key highlights
- Official, MIT-licensed examples maintained by OpenAI
- Python-centric Jupyter notebooks with cross-language concepts
- Companion website at cookbook.openai.com for browsing
- 74,531 GitHub stars
- Tightly coupled to the OpenAI API with no offline fallback
Caveats
- The README does not enumerate specific recipes or topics, so you must browse the repository or the companion site to discover what is actually inside.
- This is a collection of guides and snippets, not an installable framework or SDK.
Verdict
Worth a look if you learn best by reading working code rather than reference documentation. Skip it if you are looking for a reusable library or a tool that functions without an OpenAI account.
Frequently asked
- What is openai/openai-cookbook?
- Official Python notebooks and guides for common OpenAI API tasks.
- Is openai-cookbook open source?
- Yes — openai/openai-cookbook is open source, released under the MIT license.
- What language is openai-cookbook written in?
- openai/openai-cookbook is primarily written in Jupyter Notebook.
- How popular is openai-cookbook?
- openai/openai-cookbook has 74.8k stars on GitHub and is currently holding steady.
- Where can I find openai-cookbook?
- openai/openai-cookbook is on GitHub at https://github.com/openai/openai-cookbook.