Arize Phoenix
Open-source AI observability for evaluating, troubleshooting, and fine-tuning LLM applications
Open SourceOpen source (Elastic License 2.0), Arize Cloud for managed hosting APIOpen Source web api
Visit Arize PhoenixAbout Arize Phoenix
Phoenix by Arize is an open-source tool for AI observability, providing tracing, evaluation, and experimentation for LLM apps. It visualizes traces, evaluates output quality, detects hallucinations, and supports fine-tuning data preparation. Phoenix works as a local notebook tool or deployed server.
Key Features
- LLM tracing
- Evaluation framework
- Hallucination detection
- Embedding visualization
- Fine-tuning data prep
- Notebook integration
- OpenTelemetry support
Pros
- Strong open source
- Good visualization
- Hallucination detection
- Works locally
Cons
- Smaller community
- Enterprise features need Arize Cloud
- Documentation improving
Tags
ai-observabilityevaluationopen-sourcetracingfine-tuning
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