Features
Model Monitoring
Data Drift Detection
Prediction Drift Detection
Performance Metrics
Interactive Reports
Integration Friendly
Open Source
Export JSON
Testimonies
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Evidently AI
Evidently AI is an open-source Python library for monitoring machine learning models in production. It generates interactive reports to track model performance, data quality, data drift, prediction drift, and underperforming segments, helping teams detect and debug ML model issues early. It integrates easily into existing ML workflows, supports output in Jupyter notebooks and HTML, and enables exporting JSON profiles for integration with external tools like Grafana. Designed for tabular data currently, Evidently AI aims to simplify and standardize model monitoring for data scientists and ML teams across industries.
platform:web
form:library
form:api
form:cli-tool
pricing:free
pricing:open-source
language:python
feature:model-monitoring
feature:data-drift-detection
feature:prediction-drift-detection
feature:performance-metrics
feature:interactive-reports
feature:integration-friendly
feature:open-source
feature:export-json
target:developers
target:ml-engineers
target:data-scientists
target:teams
domain:enterprise
domain:manufacturing
domain:finance
domain:retail
