Evidently AI
ML model monitoring — data drift detection, performance reports
📋 Overview
Evidently AI provides data and model drift monitoring for production ML — detecting issues before they impact users. Unlike Whylogs (which focuses on data logging), Evidently provides comprehensive monitoring with interactive reports. It detects data drift, target drift, and model degradation. The platform generates HTML reports, JSON metrics, and integrates with existing monitoring stacks.
✨ Key Features
- •6K+ GitHub stars — ML monitoring
- •Data drift detection
- •Target drift detection
- •Interactive HTML reports
- •Statistical tests
- •Apache 2.0 licensed
- •JSON metrics export
- •Integration with monitoring stacks
🎯 The Problem It Solves
ML models degrade silently in production — data distributions shift, performance drops, and nobody notices. Evidently detects these issues automatically and generates actionable reports.
🔧 How It Works
Evidently compares reference data (training set) with current production data — detecting drift in individual features, target distributions, and model predictions. It generates interactive HTML reports with visualizations and statistical tests. Integrates with MLflow, Airflow, and custom pipelines.
🚀 Installation & Quick Start
Installation
See websiteQuick Start
- See documentation
✅ Pros
- •Best interactive reports
- •Comprehensive drift detection
- •Statistical tests
- •Apache 2.0 licensed
- •JSON metrics export
- •Integration with monitoring stacks
❌ Cons
- •Limited deployment options
- •Free tier tight limits
- •Limited deployment options
💬 Practitioner Verdict
“Evidently is the best open-source ML monitoring tool — the interactive reports are genuinely useful. The trade-off: limited deployment options, and the free tier has tight limits. For teams that need production ML monitoring, Evidently is the default.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free Apache 2.0. No paid tier.