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

This page summarizes the projects mentioned and recommended in the original post on /r/mlops

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  • mlrun

    MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

  • You should also add MLRun: https://github.com/mlrun/mlrun

  • orchest

    Build data pipelines, the easy way 🛠️

  • You might want to add https://github.com/orchest/orchest/ to the Pipeline orchestration category (disclaimer: I work at the company making it)

  • WorkOS

    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.

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  • fds

    Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc

  • Also fds, it's an open source command line wrapper around Git and DVC.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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