What To Cook?
Get a recipe to cook today, based on the ingredients you have at home.
- Recipe Management
- Java
- AGPL-3.0
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 71
- Forks
- 0
- Open issues
- 0
- Commits, last 12 months
- 7
- Last commit
- Aug 15, 2026
- Latest release
- 0.4.2Nov 20, 2025
- Created
- Sep 12, 2023
Data from the GitHub API, refreshed daily.
About What To Cook?
Get a recipe to cook today, based on the ingredients you have at home. What To Cook? is open source under the AGPL-3.0 license and written mainly in Java, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 71 stars and 0 forks on GitHub, with 7 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Topics
- hacktoberfest
- recipes
- self-hosted
Repository preview
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What is What To Cook??
What To Cook? is a free, open-source app you can host on your own server, listed in our Recipe Management category. Get a recipe to cook today, based on the ingredients you have at home. The source code lives at github.com/kassner/whattocook, where it has 71 stars.
Is What To Cook? free and open source?
Yes. What To Cook? is open-source software released under the AGPL-3.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run What To Cook? with Docker?
Yes. What To Cook? provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to What To Cook??
Popular open-source alternatives to What To Cook? include Mealie, Tandoor Recipes and CookCLI.
Is What To Cook? actively maintained?
The most recent commit to What To Cook? was on Aug 15, 2026 with 7 commits in the past twelve months. The latest release is 0.4.2, published Nov 20, 2025. Check the open issues on GitHub to gauge how quickly maintainers respond.