Learn how Langfuse and **OpenLIT ** 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
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Langfuse appears to have several advantages over **OpenLIT **, particularly in popularity, growth and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Langfuse significantly outpaces **OpenLIT ** in community adoption with 34,384 stars compared to 2,747 stars on GitHub. This 12.5x difference suggests Langfuse has a much larger and more active community. In terms of developer contributions, Langfuse has 3,732 forks, indicating strong developer engagement.
Langfuse is growing faster, adding 1,547 stars in the last 30 days (+4.7%) against adding 68 stars for OpenLIT ** (+2.5%**). Langfuse is both larger and pulling further ahead.
Both projects show recent activity, with Langfuse last updated 11 hours ago and **OpenLIT ** 1 day ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: **OpenLIT ** leverages Python, Golang, C, Objective-C.
Both projects started around the same time, with Langfuse beginning 3 years ago and **OpenLIT ** 3 years ago.
Langfuse uses the MIT license, which is more permissive than **OpenLIT **'s Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in LLM Observability & Evaluation.
Both Langfuse and **OpenLIT ** offer self-hosting capabilities, giving you full control over your data and infrastructure.