kelvins/awesome-mlops
An awesome list categorizing 300+ tools for machine learning operations, model lifecycle management, and ML infrastructure.
Not currently ranked — collecting fresh signals.
star history
This repository is a community-curated directory of MLOps tools organized by category including AutoML, model serving, data validation, feature stores, drift detection, workflow orchestration, and ML platforms. It serves as a reference for ML engineers to discover tools for building and maintaining production ML systems. The list spans both open-source and commercial tooling across the entire ML lifecycle.
Frequently asked
- What is kelvins/awesome-mlops?
- An awesome list categorizing 300+ tools for machine learning operations, model lifecycle management, and ML infrastructure.
- Is awesome-mlops open source?
- Yes — kelvins/awesome-mlops is an open-source project tracked on heatdrop.
- What language is awesome-mlops written in?
- kelvins/awesome-mlops is primarily written in Python.
- How popular is awesome-mlops?
- kelvins/awesome-mlops has 5.2k stars on GitHub.
- Where can I find awesome-mlops?
- kelvins/awesome-mlops is on GitHub at https://github.com/kelvins/awesome-mlops.