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Evidently AI

Open Source

About Evidently AI

Evidently AI is an open-source framework for evaluating, testing, and monitoring LLMs, RAG applications, AI agents, and ML models.

Key Capabilities

  • ✓Automated AI output accuracy and safety evaluation
  • ✓Synthetic and adversarial test case generation
  • ✓Continuous monitoring of data drift and model performance
  • ✓Customizable AI quality metrics and evaluation rules
  • ✓LLM-specific testing including hallucination and PII detection

Integrations

ML and AI platformsGitHub

Related Buyer Guides

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AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

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Quick Facts

www.evidentlyai.com
CategoryAI & ML Platforms
SubcategoryAI Governance & Safety
PricingSubscription
DeploymentSaaS, Open Source
Target SizeEnterprise