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Examples

Sample notebooks and tutorials

Sample notebooks

Simple examples on toy datasets to show what Evidently can do out of the box. Colab examples contain pre-rendered reports.
Title
Jupyter notebook
Colab notebook
Contents
Evidently Test Presets
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All pre-built Test Suites:
  • Data Drift
  • Data Stability
  • Data Quality
  • NoTargetPerformance
  • Regression
  • Classification (Multi-class, binary, binary top-K)
Evidently Tests
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  • All individual tests (50+) that one can use to create a custom Test Suite.
  • How to set simple test parameters.
Evidently Metric Presets
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All pre-built Reports:
  • Data Drift
  • Target Drift
  • Data Quality
  • Regression
  • Classification
Evidently Metrics
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  • All individual metrics (30+) that one can use to create a custom Report.
  • How to set simple metric parameters.

Tutorials

To better understand potential use cases for Evidently (such as model evaluation and monitoring), refer to the detailed tutorials accompanied by the blog posts.
Title
Jupyter notebook
Colab notebook
Blog post
Data source
Monitor production model decay
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Bike sharing UCI: link
Compare two models before deployment
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HR Employee Attrition: link
Evaluate and visualize historical drift
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Bike sharing UCI: link

Integrations

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