kelvins/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
This list compiles essential tools for managing the entire lifecycle of machine learning models, from initial data preparation to deployment and continuous monitoring. It helps data scientists, machine learning engineers, and MLOps practitioners navigate the vast ecosystem of tools needed to build, deploy, and maintain robust AI solutions.
5,053 stars. Actively maintained with 3 commits in the last 30 days.
Use this if you are a data scientist, ML engineer, or MLOps professional looking for specific tools across various stages of your machine learning workflow, such as data management, model deployment, or monitoring.
Not ideal if you are looking for a step-by-step tutorial or a single, integrated platform to solve all your machine learning operations challenges.
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5,053
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689
Language
Python
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Last pushed
Feb 23, 2026
Commits (30d)
3
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