phoenix and langwatch

Phoenix is an established, mature observability platform with comprehensive tracing and evaluation capabilities, while LangWatch is an early-stage alternative attempting to provide similar end-to-end LLM ops functionality—making them direct competitors in the same market segment.

phoenix

Verified

langwatch

Emerging

Maintenance 25/25

Adoption 25/25

Maturity 25/25

Community 19/25

Maintenance 13/25

Adoption 2/25

Maturity 9/25

Community 12/25

Stars: 8,847

Forks: 753

Downloads: 1,013,605

Commits (30d): 330

Language: Jupyter Notebook

License: —

Stars: 2

Forks: 1

Downloads: —

Commits (30d): 0

Language: TypeScript

License: —

No risk flags

No Package No Dependents

About phoenix

Arize-ai/phoenix

AI Observability & Evaluation

Provides OpenTelemetry-based tracing, LLM-powered evaluation, versioned datasets, and experiment tracking across LLM frameworks (LangGraph, LlamaIndex, Claude/OpenAI agent SDKs) and providers. Features a web UI with prompt optimization playground, dataset management, and call replay capabilities. Runs locally, in notebooks, or containerized with Helm support, and integrates via auto-instrumentation through the OpenInference standard.

About langwatch

tenemos/langwatch

The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨

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