Repositories list

• evidently

  Public
  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen A…

  data-sciencemachine-learningdata-validation+ 11pandas-dataframejupyter-notebookhtml-reporthacktoberfestdata-qualitymlopsmodel-monitoring+ 4

  Jupyter Notebook

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  Apache License 2.0

  •806•7.3k•225•30•Updated Feb 27, 2026Feb 27, 2026

• community-examples

  Public
  Examples of using Evidently to evaluate, test and monitor ML models.

  Jupyter Notebook

  •

  Apache License 2.0

  •9•50•1•0•Updated Dec 15, 2025Dec 15, 2025

• docs

  Public
  MDX

  •2•2•0•1•Updated Nov 27, 2025Nov 27, 2025

• tracely

  Public
  LLM application tracing based on OpenTelemetry

  tracingobservabilitymodel-monitoring+ 2open-telemetrylllmops

  Python

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  Apache License 2.0

  •5•16•0•1•Updated Nov 24, 2025Nov 24, 2025

• evidently-report-action

  Public
  Github Action to run Evidently Report

  0•5•0•0•Updated Jun 20, 2025Jun 20, 2025

• evidently-ci-example

  Public
  Python

  •0•3•0•1•Updated Jun 20, 2025Jun 20, 2025

• docs-old

  Public
  Evidently legacy documentation

  1•0•0•0•Updated Apr 10, 2025Apr 10, 2025

• ml_observability_course

  Public
  Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

  data-quality-checksdata-qualityproduction-machine-learning+ 9mlopsmodel-monitoringmachine-learning-operationsmodel-performancedata-driftml-pipelinesml-monitoring+ 2

  Jupyter Notebook

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  Apache License 2.0

  •34•101•2•4•Updated Dec 17, 2023Dec 17, 2023

• aws_alerting

  Public
  Python

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  Apache License 2.0

  •2•5•0•0•Updated Jun 13, 2023Jun 13, 2023

• evidentlyai.github.io

  Public
  HTML

  •1•3•0•0•Updated Jun 7, 2021Jun 7, 2021