Arize-ai/phoenix
AI Observability & Evaluation
- Stars
- 12k
- Forks
- 1.2k
- Open issues
- 984
- Last push
- today
About phoenix
phoenix is a free, open-source AI developer tool by Arize-ai, written mainly in Python. AI Observability & Evaluation. It has 12k GitHub stars and 1.2k forks, and was last updated today. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 11,947
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
langchain148k stars · The agent engineering platform.
litellm62k stars · The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropi
prompt-optimizer39k stars · An AI prompt optimizer for writing better prompts and getting better AI results.
RagaAI-Catalyst16k stars · Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal
DeepSeek-Reasonix36k stars · A reliable coding agent for complex software engineering tasks.
deepeval19k stars · The LLM Evaluation Framework
phoenix FAQ
Is phoenix free?
Yes. phoenix is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does phoenix run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does phoenix need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is phoenix still maintained?
Yes. It was last updated today and has 984 open issues on GitHub.
What are alternatives to phoenix?
Similar free, open-source tools include langchain, litellm, prompt-optimizer, RagaAI-Catalyst.