Learn how **OpenLIT ** 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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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both **OpenLIT ** 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 7,501 stars vs 2,858 stars for **OpenLIT **. The 162% higher star count indicates stronger community adoption. In terms of developer contributions, OpenLLMetry has 1,162 forks, indicating strong developer engagement.
OpenLIT ** is growing faster, adding 86 stars in the last 30 days (+3.1%) against adding 58 stars for OpenLLMetry (+0.8%**). OpenLIT is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with **OpenLIT ** last updated 4 days ago and OpenLLMetry 6 days ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: **OpenLIT ** uses JavaScript, CSS, Typescript, JSX, Next.js, Golang, C, Objective-C.
Both projects started around the same time, with **OpenLIT ** 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.
**OpenLIT ** provides self-hosting options for complete data control and customization, while OpenLLMetry may be primarily cloud-based or require different deployment approaches.