Evidently AI

Empower your ML workflows with Evidently, the open-source tool for evaluating, testing, and monitoring machine learning models. Designed for data scientists and ML engineers, supporting tabular data to NLP and LLM.

Features

• Self-Hosted ML Dashboard: Build and maintain your own ML monitoring dashboard with ease.
• Comprehensive Reporting: Generate beautiful, detailed reports for data and model quality insights.
• Pre-Production Testing: Validate models before shipping and with each update to ensure robust performance.
• Holistic Monitoring: Track every facet of your data and models to proactively manage issues and optimize performance.
• 100+ Integratable Metrics: Employ over 100 metrics to understand, visualize, and maintain data and model quality.

Use Cases:

• Data Quality Assurance: Automatically spot and correct data quality issues such as nulls, duplicates, and compliance with KPIs.
• Data Drift Detection: Identify changes in data distributions and adapt to model drift without manual labels.
• Model Performance Tracking: Monitor performance, uncover deviations and enhance model reliability in the real world.
• NLP and LLM Model Monitoring: Keep an eye on complex text-based models and manage unstructured data effectively.

Join a thriving community of 2,500+ members and elevate your ML systems with Evidently's comprehensive toolkit. Get started with quick integration and scale from ad hoc checks to a complete observability platform.