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LangWatch vs OpenLLMetry

Learn how LangWatch and OpenLLMetry differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm observability & evaluation is best for you.

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Favicon of LangWatch

LangWatch

AI
Tests AI agents through multi-turn simulations, LLM-based scoring, and production tracing so teams can ship reliable agents with confidence.
3,504stars+18(+0.5%)

Last 30 days

Screenshot of LangWatch
Favicon of OpenLLMetry

OpenLLMetry

AI
Open-source observability platform for LLMs using OpenTelemetry. Monitor performance, track costs, and debug AI applications with just 2 lines of code.
7,391stars+65(+0.9%)

Last 30 days

Screenshot of OpenLLMetry

Detailed Comparison

OpenLLMetry appears to have several advantages over LangWatch, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.

OpenLLMetry wins
Community & Popularity

OpenLLMetry leads in popularity with 7,391 stars vs 3,504 stars for LangWatch. The 111% higher star count indicates stronger community adoption. In terms of developer contributions, OpenLLMetry has 1,060 forks, indicating strong developer engagement.

OpenLLMetry wins
Growth Momentum

OpenLLMetry is growing faster, adding 65 stars in the last 30 days (+0.9%) against adding 18 stars for LangWatch (+0.5%). OpenLLMetry is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with LangWatch last updated 10 hours ago and OpenLLMetry 14 days ago.

Comparable
Project Maturity

Both projects started around the same time, with LangWatch beginning 3 years ago and OpenLLMetry 3 years ago.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Observability & Evaluation.