Arize Phoenix
Open-source alternative to LangSmith, LangChain, Humanloop.
Open-source platform for LLM tracing, evaluation, and optimization. Features automatic instrumentation, prompt playground, and real-time AI application monitoring.

Open-source platform for LLM tracing, evaluation, and optimization. Features automatic instrumentation, prompt playground, and real-time AI application monitoring.
Some key features of Arize Phoenix:
- Open-source alternative to LangSmith, LangChain, Humanloop
- AI Development Platforms coverage
- GitHub stars, forks, license, last commit, and activity score synced from directory sources
- Codex course and interactive classroom previews attached to the repository detail page
Learning previews
Learn this project
Codex HTML Course
Arize Phoenix Codex HTML Course
Arize Phoenix Codex HTML Course is being prepared for this directory project.
Interactive Classroom
Arize Phoenix Interactive Classroom
Arize Phoenix Interactive Classroom is being prepared for this directory project.
Categories
Built with
Related projects
Langfuse
Unknown
Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
Agenta
MIT
Open-source LLMOps platform providing prompt management, evaluation, and observability tools for building robust AI applications with team collaboration.
Latitude
MIT
Traces AI agents in production, automatically clusters failures into issues, generates evals from real failures, and alerts you when something breaks or regresses.
OpenLIT
Apache-2.0
Open-source observability platform for GenAI and LLM applications. Real-time monitoring, distributed tracing, prompt management, and AI model evaluation built on OpenTelemetry.
Agno
Apache-2.0
Open-source platform that enables developers to create, deploy and monitor AI agents with built-in memory, knowledge integration, and external tool connectivity.
Dify
Unknown
Visual platform for building agentic workflows, RAG pipelines, and LLM-powered apps. Supports hundreds of models, MCP integration, and self-hosted deployment.













