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.
Last 30 days
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both LangWatch and OpenLLMetry have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
OpenLLMetry leads in popularity with 7,468 stars vs 4,911 stars for LangWatch. The 52% higher star count indicates stronger community adoption. In terms of developer contributions, OpenLLMetry has 1,126 forks, indicating strong developer engagement.
LangWatch is growing faster, adding 1,388 stars in the last 30 days (+39%) against adding 55 stars for OpenLLMetry (+0.7%). LangWatch is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with LangWatch last updated 11 hours ago and OpenLLMetry 5 days ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: LangWatch uses JavaScript, CSS, Typescript, JSX, Golang, SCSS, Ruby.
Both projects started around the same time, with LangWatch beginning 3 years ago and OpenLLMetry 3 years ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in LLM Observability & Evaluation.