model-monitoring topic

nannyml: post-deployment data science in python

NannyML

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

evidentlyai

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and model...

deepchecks

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

MAIF

Free MLOps course from DataTalks.Club

DataTalksClub

🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)

aporia-ai

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

NimbleBoxAI

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

squaredev-io

"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.

jomariya23156

A modern, enterprise-ready business intelligence web application

katonic-dev