mlop-ai/mlop
Next Generation Experimental Tracking for Machine Learning Operations
This tool helps machine learning engineers and researchers efficiently manage and track their machine learning model training experiments. You feed it your model training metrics and configurations, and it provides superior experimental tracking, helping you understand model performance and training run specifics without losing crucial data. It's designed for anyone actively building and iterating on ML models.
370 stars. Used by 1 other package. Available on PyPI.
Use this if you are an ML engineer or researcher who needs reliable, high-throughput tracking of your model training experiments and want to save on compute costs.
Not ideal if you are looking for a general-purpose data logging solution outside of machine learning model training and lifecycle management.
Stars
370
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Dependencies
9
Reverse dependents
1
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