What it does
Building a model is one step; keeping it running reliably for real users is another. This list gathers open-source tools for that second step: deploying, monitoring, versioning, scaling and securing machine learning.
It is organised into sections and updated regularly, with monthly summaries of new additions. There is also a search tool and a short overview video.
It also covers topics like explaining model decisions and protecting privacy.
Who it's for
Machine learning engineers and technical teams choosing tools for production systems.
Can I use it without coding?
Yes. It's a list you read in your browser. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- API key
- Not needed
Try it
- Browse the list by section, such as deployment or monitoring, on the project's GitHub page.
- Follow a link to learn more about any tool that interests you.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (MIT): Very permissive: free to use, change and share, including for business.
- More on staying safe