model-monitoring topic
nannyml
nannyml: post-deployment data science in python
evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
deepchecks
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...
eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
mlops-zoomcamp
Free MLOps course from DataTalks.Club
inferencedb
🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
nbox
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
full-stack-on-prem-cv-mlops
"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.
explainit
A modern, enterprise-ready business intelligence web application