Learn how OpenLLMetry 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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Repository age
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Both OpenLLMetry 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.
OpenLLMetry significantly outpaces Spanlens in community adoption with 7,385 stars compared to 12 stars on GitHub. This 615.4x difference suggests OpenLLMetry has a much larger and more active community. In terms of developer contributions, OpenLLMetry has 1,055 forks, indicating strong developer engagement.
Both projects show recent activity, with OpenLLMetry last updated 10 days ago and Spanlens 18 hours ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Spanlens leverages JavaScript, CSS, Typescript, JSX, Next.js.
OpenLLMetry has been in development longer, starting 3 years ago, compared to Spanlens which began 4 months ago. This 2.7-year head start suggests OpenLLMetry may have more mature features and established processes.
Spanlens uses the MIT license, which is more permissive than OpenLLMetry'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 OpenLLMetry may be primarily cloud-based or require different deployment approaches.