katonic-dev/explainit

A modern, enterprise-ready business intelligence web application

45
/ 100
Emerging

This tool helps machine learning platform teams monitor the performance and stability of their models in production. It takes in your historical training data and current production data, then generates interactive dashboards. These dashboards show how your live data compares to what your model was trained on, highlighting issues like changes in data patterns or feature distributions, and providing insights into data quality. This is for ML platform teams with DevOps experience.

No commits in the last 6 months. Available on PyPI.

Use this if you need to continuously analyze and understand changes in your production machine learning data compared to your training data, to prevent model degradation and ensure data quality.

Not ideal if your organization is new to machine learning and still exploring its business value, or if your primary data source is unstructured.

MLOps model-monitoring data-drift data-quality predictive-analytics
Stale 6m
Maintenance 0 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 13 / 25

How are scores calculated?

Stars

33

Forks

5

Language

Python

License

Apache-2.0

Last pushed

Dec 09, 2022

Commits (30d)

0

Dependencies

26

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mlops/katonic-dev/explainit"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.