Give us a star ⭐️ on GitHub to support the project!
Interactive reports on data and model performance. Metrics and dynamic visuals out of the box. Easy to use, easy to share.
Understand your data before you build and models before you deploy. Swiftly compare models, segments, and datasets side-by-side.
Document ML models and data. Customize the layout, add text annotations, and share with stakeholders.
Find weak spots and segments of low performance. Speed up root cause analysis with pre-built plots and breakdowns.
Assess data quality and understand your data with automated exploratory analysis.
Evaluate shifts and changes in the input data distribution and model predictions.
Explore the machine learning model quality and understand the errors it makes.
Extract signal from unstructured data to analyze text data properties and drift.
Easily add Evidently to existing workflows, no matter where you deploy.
