Learn how **OpenLIT ** and Spanlens 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.
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Last 30 days
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Both **OpenLIT ** and Spanlens have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
**OpenLIT ** significantly outpaces Spanlens in community adoption with 2,701 stars compared to 12 stars on GitHub. This 225.1x difference suggests OpenLIT has a much larger and more active community. In terms of developer contributions, **OpenLIT ** has 359 forks, indicating moderate developer engagement.
Both projects show recent activity, with **OpenLIT ** last updated 3 days ago and Spanlens 18 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Next.js. However, they differ in their additional technology choices: **OpenLIT ** uses Golang, C, Objective-C.
**OpenLIT ** has been in development longer, starting 3 years ago, compared to Spanlens which began 4 months ago. This 2.3-year head start suggests OpenLIT may have more mature features and established processes.
Spanlens 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.
Spanlens provides self-hosting options for complete data control and customization, while **OpenLIT ** may be primarily cloud-based or require different deployment approaches.