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Arize-ai/phoenix

An open-source tracing and evaluation library that instruments applications via OpenTelemetry to capture traces and runs LLM-graded and code-graded evaluations against recorded runs or curated datasets.

Our description, from the project's GitHub description and the maintainer's own site, as of 2026-09-24.

Rendered 2026-10-28

Key facts

FactAnswer
LayerTesting agent output (main layer)
Formslibrary, server you run

Our reading, beyond the maker's pages

Each item below is our own view of how the product compares or groups with other products in the catalog, or of a limit worth knowing about. It goes beyond what the maker's pages cited here say; no maker has said it or reviewed it, and it cannot be confirmed on a vendor's page. A second AI model read each item on 2026-10-25. Terms

Data and compliance

What the maker's own pages said on the dates shown, not a compliance determination.

Sources

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Our reading of vendors' pages, as of the dates shown. Confirm on the vendor's page before relying on any line that cites it. To report an error write to report@crinaro.ai