fuzzylabs/awesome-open-mlops
An awesome-list guide cataloging free and open source tools for machine learning operations across the entire ML lifecycle.
Not currently ranked — collecting fresh signals.
star history
This repository from Fuzzy Labs provides a structured overview of open source MLOps tooling, organized by functional category including data annotation, validation, version control, experiment tracking, model training, validation, registries, feature stores, deployment, and monitoring. It serves as a curated index that helps practitioners discover and evaluate tools for operating ML systems in production environments.
Frequently asked
- What is fuzzylabs/awesome-open-mlops?
- An awesome-list guide cataloging free and open source tools for machine learning operations across the entire ML lifecycle.
- Is awesome-open-mlops open source?
- Yes — fuzzylabs/awesome-open-mlops is open source, released under the Apache-2.0 license.
- How popular is awesome-open-mlops?
- fuzzylabs/awesome-open-mlops has 482 stars on GitHub.
- Where can I find awesome-open-mlops?
- fuzzylabs/awesome-open-mlops is on GitHub at https://github.com/fuzzylabs/awesome-open-mlops.