Open source mlops projects
Every project in the registry tagged mlops, ranked by real GitHub adoption.
Fast, scalable vector database for AI applications
Turns Data and AI algorithms into production-ready web applications in no time.
AI-native vector database for intuitive applications
An orchestration platform for the development, production, and observation of data assets.
The tensor database for AI data
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
🏕️ Reproducible development environment for humans and agents
🔥 Real-time NVIDIA GPU dashboard
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
LightlyStudio - The Unified Data Platform for Multimodal ML
Monitor the stability of a Pandas or Spark dataframe ⚙︎
Experiment tracking platform for ML teams
Related tags
Frequently asked questions
How many open source mlops projects are there?
This registry tracks 13 projects tagged mlops, with 109,956 GitHub stars between them. The most-adopted is Qdrant at 35,390 stars.
Are these mlops projects free to use?
Yes — 12 of the 13 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which mlops project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these mlops projects still maintained?
10 of the 13 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.