Galileo

LLM tracing and evaluation with retrieval debugging.

Phoenix is Arize's observability platform — run locally in a notebook or as a hosted service. Especially strong for inspecting RAG pipelines, finding bad chunks, and tracking retrieval quality over time.

Open-source LLM observability. Self-hostable, OpenTelemetry-native.

Tracing, evals, prompt management, and dataset tooling for LLM apps — self-host on your own infra or use Langfuse Cloud. The open-source default when you want full ownership of your observability stack.

Hosted eval + tracing platform for LLM apps.

Production-grade eval orchestration with a dashboard, dataset versioning, and OpenTelemetry tracing. Useful once eval volume outgrows a CI YAML file.

The observability and evaluation layer for production AI agents.

A platform that unifies monitoring and testing for LLM apps and agents into one improvement loop: distributed tracing, online evaluations and alerts, offline experiments, annotation queues for expert feedback, and CI/CD-integrated regression testing. Built OpenTelemetry-native with support for 100+ models and agent frameworks. The free Developer tier covers small teams; Enterprise adds scale, self-host, and compliance.