Learn how LangWatch 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
Repository

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

Both LangWatch and **OpenLIT ** 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.
LangWatch leads in popularity with 4,911 stars vs 2,814 stars for **OpenLIT **. The 75% higher star count indicates stronger community adoption. In terms of developer contributions, **OpenLIT ** has 418 forks, indicating moderate developer engagement.
LangWatch is growing faster, adding 1,388 stars in the last 30 days (+39%) against adding 75 stars for OpenLIT ** (+2.7%**). LangWatch is both larger and pulling further ahead.
Both projects show recent activity, with LangWatch last updated 11 hours ago and **OpenLIT ** 3 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Golang. However, they differ in their additional technology choices: LangWatch uses SCSS, Ruby while **OpenLIT ** leverages Next.js, C, Objective-C.
Both projects started around the same time, with LangWatch beginning 3 years ago and **OpenLIT ** 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 LangWatch may be primarily cloud-based or require different deployment approaches.