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Examples

Sample notebooks and tutorials

Quick start

This is the best place to start.
Title
Code example
Guide
Quickstart for Reports and Test Suites
Tutorial
Quickstart for ML Monitoring
Tutorial

Sample notebooks

Simple examples show different Metrics, Tests and Presets. Head to Colab examples to see the pre-rendered visuals.
Title
Code example
Contents
Evidently Test Presets
Pre-built Test Suites on tabular data:
  • Data Drift
  • Data Stability
  • Data Quality
  • NoTargetPerformance
  • Regression
  • Classification (Multi-class, binary, binary top-K)
Evidently Tests
  • All individual Tests (50+) that one can use to create a custom Test Suite. Tabular data examples.
  • How to set test conditions and parameters.
Evidently Metric Presets
All pre-built Reports:
  • Data Drift
  • Target Drift
  • Data Quality
  • Regression
  • Classification
Evidently Metrics
  • All individual metrics (30+) that one can use to create a custom Report.
  • How to set simple metric parameters.
For more examples showing specific features, including text data support, head to the "How to" examples.

Tutorials

To better understand the Evidently use cases, refer to the detailed tutorials accompanied by the blog posts.
Title
Code example
Blog post
Understand ML model decay in production (regression example)
Compare two ML models before deployment (classification example)
Evaluate and visualize historical data drift
Monitor NLP models in production
Colab
Create ML model cards
Use descriptors to monitor text data
You can find more examples in the Community Examples repository.

Integrations

To see how to integrate Evidently in your prediction pipelines and use it with other tools, refer to the integrations.