Phoenix (Arize)
Open-source AI observability platform for tracing, evaluation, and experimentation.
About
Phoenix by Arize AI is an open-source observability and evaluation platform for AI applications that captures traces, runs evaluations, manages datasets, and supports experimentation. It is vendor and language agnostic with out-of-the-box instrumentation for frameworks like LangGraph, CrewAI, LlamaIndex, and DSPy and providers including OpenAI, Anthropic, and Bedrock through the OpenInference project. It runs locally, in notebooks, or in the cloud. Released under the Apache 2.0 license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- AI Observability & Evaluation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
Related Tools
UK AI Security Institute framework for large language model evaluations and benchmarks.
ML experiment tracking, visualization, and collaboration
Open source LLM engineering platform for tracing and analytics
Open-source library for evaluating and tracking LLM applications.
Open-source AI metadata tracker for logging and comparing ML experiments.
Python framework for unit testing and evaluating LLM applications with metrics like G-Eval.
Mentioned in
The LLM Evaluation Stack: Ragas, LightEval, OpenCompass
A working guide to the 2026 LLM evaluation stack: Ragas for RAG metrics, LightEval and OpenCompass for...
Billy C
LLM Gateways in Production: LiteLLM vs Portkey vs Bifrost
A working comparison of LiteLLM, Portkey, and Bifrost on routing, caching, budgets, observability, and real...
Max P