HomeToolsMCPHow It WorksStoriesPhilosophyArchitectureStar on GitHub
All Tools
E
MonitoringFreemiumOpen Source

EVIDENTLY AI

Evaluate, test, and monitor ML and LLM-powered systems

Apache-2.0

ABOUT

Teams need repeatable ways to detect regressions in model behavior, data quality, and LLM output, but those checks are often spread across notebooks, bespoke scripts, and one-off dashboards. Evidently AI packages evaluation, testing, drift detection, and reporting into a reusable workflow so teams can compare runs consistently and catch failures before or after deployment.

INSTALL
pip install evidently

INTEGRATION GUIDE

1. Monitor production data drift and data quality for ML pipelines 2. Run regression tests for LLM and RAG applications in CI workflows 3. Compare model versions, prompts, or retrieval settings with shared evaluation reports 4. Track evaluation metrics over time to spot quality degradation after deployment

TAGS

ml-observabilityllm-evaluationrag-evaluationdata-driftdata-qualitytesting
Evidently AI — AI Tool | Agentic AI For Good