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
Last commit
Repository age
Version
License
Repository

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 7,428 stars vs 4,765 stars for LangWatch. The 56% higher star count indicates stronger community adoption. In terms of developer contributions, OpenLLMetry has 1,074 forks, indicating strong developer engagement.
LangWatch is growing faster, adding 1,275 stars in the last 30 days (+37%) against adding 51 stars for OpenLLMetry (+0.7%). LangWatch is the smaller project of the two, so it is closing the gap rather than extending a lead.
LangWatch shows more recent development activity with its last commit 9 hours ago, while OpenLLMetry was last updated 1 month ago. This suggests LangWatch is being more actively maintained.
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, SCSS, Golang, 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.