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
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Last 30 days
Last commit
Repository age
Version
License
Repository

Langfuse appears to have several advantages over **OpenLIT **, particularly in popularity, growth, licensing and features. 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 33,426 stars compared to 2,703 stars on GitHub. This 12.4x difference suggests Langfuse has a much larger and more active community. In terms of developer contributions, Langfuse has 3,597 forks, indicating strong developer engagement.
Langfuse is growing faster, adding 1,842 stars in the last 30 days (+5.8%) against adding 75 stars for OpenLIT ** (+2.9%**). Langfuse is both larger and pulling further ahead.
Both projects show recent activity, with Langfuse last updated 12 hours ago and **OpenLIT ** 9 hours 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.
Langfuse provides self-hosting options for complete data control and customization, while **OpenLIT ** may be primarily cloud-based or require different deployment approaches.