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// Trace & monitor

phoenixarize-phoenix-v20.24.0

AI Observability & Evaluation

Open source Maintained For developers

Official site ↗ GitHub ↗

IN ONE PARAGRAPH

phoenix is AI Observability & Evaluation.

Good for: Developers and teams who want to trace & monitor.

01How to start

  1. 1Read the official quick-start (link above).
  2. 2Install from the official package registry: npm install @arizeai/phoenix-cli
  3. 3Try it on a small example before wiring it into a project.

npm: @arizeai/phoenix-cli

02Alternatives & comparison

Compare side by side →
lmnr Laminar - open-source observability platform purpose-built for AI agents. YC S24. ★ 3.4k mlflow The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. ★ 28k logfire AI observability platform for production LLM and agent systems. ★ 4.5k langfuse 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform. ★ 36k opik Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. ★ 23k

03Related

Versions, why it is listed, for AI to read

Recent releases

For AI agents

Data updated: AI software & hot ranks · Software profiles & needs · Official software downloads(UTC+8)