All Tutorials

Code examples and tutorials.

Quick Start

Check the short Quickstart examples here.

Get Started Tutorials

Introductory tutorials that walk you through the basic functionality step by step.

Title
Guide
Code

Data & ML Monitoring

Intro to Reports & Test Suites (OSS)

Self-host ML monitoring Dashboard (OSS)

Example Reports and Tests

Simple examples show different local evaluations (Metrics, Tests and Presets) for tabular data and ML.

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.

Evidently LLM Metrics

  • Evaluations for Text Data and LLMs

For LLM and text metrics, check the LLM evaluation tutorial.

Tutorials - LLM

Title
Tutorial

How to create LLM judge evaluator

How to run regression testing for LLM products

Tutorials - ML

To better understand the Evidently use cases, refer to the detailed tutorials accompanied by the blog posts.

You can find more examples in the Community Examples repository.

How to examples

For code examples on specific functionality, check the How-To examples:

https://github.com/evidentlyai/evidently/tree/main/examples/how_to_questions

Integrations

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

Evidently integrations

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