treeverse/dvclive
📈 Log and track ML metrics, parameters, models with Git and/or DVC
This tool helps machine learning engineers and data scientists track the performance of their ML models and experiments. It takes model parameters, metrics (like accuracy or loss), and plots as input. It then organizes this information, allowing you to easily compare different model runs, understand how changes impact results, and share your findings with your team.
189 stars.
Use this if you need a lightweight way to log and compare machine learning experiments and their results without relying on external services or complex infrastructure.
Not ideal if you need a comprehensive, fully managed MLOps platform that handles model deployment, serving, and advanced collaborative features out-of-the-box.
Stars
189
Forks
39
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
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