Evidently AI
Open-source ML monitoring framework for data drift and model quality.
About
Evidently AI is an open-source Python framework for evaluating, testing, and monitoring machine learning and LLM systems from experiments through production. It detects data drift, tracks model and data quality, and generates reports that can be turned into pass-fail test suites, with an optional monitoring UI for tracking metrics over time. It covers tabular, NLP, and LLM use cases. Released under the Apache 2.0 license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- AI Observability & Evaluation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
Related Tools
Open source LLM engineering platform for tracing and analytics
Open source platform for the ML lifecycle
AI observability and evaluation from Arize
ML experiment tracking, visualization, and collaboration
Open-source AI metadata tracker for logging and comparing ML experiments.
CLI and library for testing, evaluating, and red-teaming LLM outputs.