[P] I reviewed 50+ open-source MLOps tools. Here’s the result

• nebuly

  105 8,367 8.4 Python

  The user analytics platform for LLMs

  

Great tool and user interface. Upvoted!! Also take a look at nebullvm (https://github.com/nebuly-ai/nebullvm) as a runtime engine for ML computation optimization!btw, I'd recommend changing the runtime engine description to "Optimize your code and distribute execution across multiple machines to improve performance" since parallelization is just one of the many optimization techniques. And maybe I would move Ray there instead of model serving

• zenml

  33 3,657 9.8 Python

  ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

  

Currently, you can see the integrations we support here and it includes a lot of tools in your list. I also feel I agree with your categorization (it is exactly the categorization we use in our docs pretty much). Perhaps one thing missing might be feature stores but that is a minor thing in the bigger picture.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• guildai

  16 856 8.8 Python

  Experiment tracking, ML developer tools

  

I'm not aware of experiment tracking in Jupyter notebooks themselves. Guild AI is able to run notebooks as experiments however.

Suggest a related project