Skip to main content
Evidently Platform helps you manage AI quality across the AI system lifecycle, from pre-deployment testing to production monitoring. It supports evaluations of open-ended LLM outputs, predictive tasks like classification, and complex workflows like AI agents.

​
Key features

Evidently Platform has a lightweight open-source version for evaluation tracking and monitoring, and a Cloud/Enterprise version with extra features. Check feature availability.
  • Evaluations
  • Datasets
  • Synthetic data
  • Regression testing
  • Monitoring
  • Tracing
Run evaluations locally with the Evidently Python library or no-code on the platform. Use 100+ built-in evals and templates. Track, compare, and debug experiments.
While many workflows can be run no-code directly on the platform, you’ll often need programmatic access – for example, to upload datasets or run local experimental evaluations. In these cases, you can use the Evidently Python library to interact with the Evidently Cloud API. To collect input-outputs from your production AI systems, you’d also need to install Tracely, a lightweight tool based on OpenTelemetry.
⌘I