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Langfuse vs Spanlens

Learn how Langfuse 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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Favicon of Langfuse

Langfuse

AI
Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
33,392stars+1,889(+6%)

Last 30 days

Screenshot of Langfuse
Favicon of Spanlens

Spanlens

AI
Drop-in observability platform for OpenAI, Anthropic, and Gemini that logs every request, tracks costs, traces agent workflows, and flags anomalies and PII.
12stars

Last 30 days

Screenshot of Spanlens

Detailed Comparison

Langfuse appears to have several advantages over Spanlens, particularly in popularity and maturity. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Langfuse wins
Community & Popularity

Langfuse significantly outpaces Spanlens in community adoption with 33,392 stars compared to 12 stars on GitHub. This 2782.7x difference suggests Langfuse has a much larger and more active community. In terms of developer contributions, Langfuse has 3,593 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Langfuse last updated 6 hours ago and Spanlens 18 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Spanlens leverages Python.

Langfuse wins
Project Maturity

Langfuse has been in development longer, starting 3 years ago, compared to Spanlens which began 4 months ago. This 3.0-year head start suggests Langfuse may have more mature features and established processes.

Comparable
Licensing

Both projects use the MIT license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Observability & Evaluation.

Comparable
Hosting & Deployment

Both Langfuse and Spanlens offer self-hosting capabilities, giving you full control over your data and infrastructure.