Product
LLM observability
Evaluate LLM-powered products, from RAGs to AI assistants.
ML observability
Monitor data drift, data quality, and performance for production ML models.
Open-source
Open-source Python library for ML monitoring with 20m+ downloads.
Pricing
Docs
Resources
Blog
Insights on building AI products
ML and AI platforms
45+ internal ML and AI platforms
Tutorials
AI observability and MLOps tutorials
ML and LLM system design
500 ML and LLM use cases
Guides
In-depth AI quality and MLOps guides
Community
Get support and chat about AI products
Course on LLM evaluations for AI product teams
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GitHub
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Unlimited local evals and 10,000 traces monthly. No credit card required.
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Run no-code evaluations directly on the platform.
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Built on top of the Evidently Python library with 20+ million downloads. It's transparent and easy to extend.
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