polyaxon/traceml
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
This project helps machine learning engineers and data scientists keep track of their experiments. It allows you to log the various inputs, configurations, metrics, and data references that go into training a model. You can then visualize and explain model behavior, detect drift in data, and create dashboards to monitor performance. This is ideal for anyone working with machine learning models who needs to organize, compare, and understand their experiments.
530 stars and 133,461 monthly downloads. Used by 1 other package. Actively maintained with 6 commits in the last 30 days. Available on PyPI.
Use this if you need a centralized system to log, visualize, and compare your machine learning experiments and the data that feeds them.
Not ideal if you are looking for a general-purpose data visualization tool unrelated to machine learning experiment tracking.
Stars
530
Forks
47
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 24, 2026
Monthly downloads
133,461
Commits (30d)
6
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/polyaxon/traceml"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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