What do you do?

Evidently is an open-source tool that helps analyze and monitor machine learning models. The tool generates interactive reports on machine learning model performance in production. The project is in active development.

How much does it cost?

Open-source project.

What’s a sample use case? Where can I learn from?

  • Analyze model health and data drift in production, debug reasons of model decay: Evidently Blog
  • Analyze and compare models before deployment to find weak spots and areas of low performance. Evidently Blog
  • How to: video on Generating Data and Target Drift Reports in Jupyter Notebook: Youtube

Feature List

  • Data drift detection
  • Target/prediction drift analysis
  • Model performance analysis (regression, classification, probabilistic classification models)
  • Identification of areas of low performance
  • GitHub


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