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Evidently Reports

Instantly analyze ML models and datasets.

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Evidently Reports

Interactive reports on data and model performance. Metrics and dynamic visuals out of the box. Easy to use, easy to share.

Start in a minute
In your notebook or IDE, with a couple of lines of code.
Use presets or customize
Pick from curated presets and 100+ metrics, or add your own.
A simple, clean API
We wrote all the boilerplate. Define only what matters.
Evidently Data Drift report

Know your models

Explore and evaluate

Understand your data before you build and models before you deploy. Swiftly compare models, segments, and datasets side-by-side.

Evidently for data quality
Evidently for ML model cards

Create ML model cards

Document ML models and data. Customize the layout, add text annotations, and share with stakeholders.

Debug and troubleshoot

Find weak spots and segments of low performance. Speed up root cause analysis with pre-built plots and breakdowns.

Evidently for debugging

Get an in-depth look

Data quality

Assess data quality and understand your data with automated exploratory analysis.

Data drift

Evaluate shifts and changes in the input data distribution and model predictions.

ML performance

Explore the machine learning model quality and understand the errors it makes.

NLP and LLM

Extract signal from unstructured data to analyze text data properties and drift.

Get started

Easily add Evidently to existing workflows, no matter where you deploy. 

Open-source

Integrate in minutes and self-host.
Get full privacy and control.

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Cloud

Evidently Cloud platform is in the works. Join the waitlist to be the first to try it.

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