Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
OpenAI Cookbook
The OpenAI Cookbook provides examples and guides for using the OpenAI API.

About OpenAI Cookbook
The OpenAI Cookbook is an open-source GitHub repository of example code and guides for accomplishing common tasks with the OpenAI API. It can also be browsed as a website at cookbook.openai.com. Most examples are written in Python, though the repository says the concepts can be applied in any language. Running the examples requires an OpenAI account and an API key, typically stored in an OPENAI_API_KEY environment variable or a .env file that notebook tooling such as Visual Studio Code can pick up. The project is licensed under the MIT License and accepts contributions.
Key features
- Example code and guides for common OpenAI API tasks
- Browsable at cookbook.openai.com as well as on GitHub
- Most examples written in Python; concepts apply to other languages
- Examples read an OPENAI_API_KEY environment variable
- IDE support for a local .env file with the key
- Open source under the MIT License with contributing guidelines
- Open source under the MIT License with public contribution process
- Covers common API tasks through runnable example code and guides
- Large public repository with an active history of commits
- Running the examples requires an OpenAI account and API key
- Most code examples are written in Python
- Content is aimed at users comfortable working with code and API keys
OpenAI Cookbook at a glance
- Category
- Education & Learning › AI Learning & Guides
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
OpenAI Cookbook alternatives
Tools and sites you could use instead, ranked by how closely they match.
This repository provides a tutorial implementation of AutoML for batch and online learning.
This repository contains code samples for the book Neural Networks and Deep Learning.
Notebooks and code for the book "Introduction to Machine Learning with Python".
This repository contains more than 50 tutorials and implementations for generative AI agent techniques.
This repository collects tutorials and examples for learning machine learning and pattern classification.
Popular in AI Learning & Guides
Well-known listings from the same topic.
OpenAI Cookbook FAQ
What do I need to run the examples?
Can I read the cookbook without using GitHub?
What programming language are the examples in?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












