Agenta vs Langfuse
Learn how Agenta and Langfuse 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.
Learn how Agenta and Langfuse 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.
Agenta
Last 30 days
Last commit
8 hours agoRepository age
3 yearsVersion
v0.112.2License
MITSelf-hosted
YesRepository
agenta-ai/agenta
Langfuse
Last 30 days
Last commit
7 hours agoRepository age
3 yearsVersion
v4.15.0License
MITSelf-hosted
YesRepository
langfuse/langfuse
Detailed Comparison
Langfuse appears to have several advantages over Agenta, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Langfuse appears to have several advantages over Agenta, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Community & Popularity
Langfuse significantly outpaces Agenta in community adoption with 33,392 stars compared to 4,495 stars on GitHub. This 7.4x 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.
Growth Momentum
Langfuse is growing faster, adding 1,889 stars in the last 30 days (+6%) against adding 182 stars for Agenta (+4.2%). Langfuse is both larger and pulling further ahead.
Development Activity
Both projects show recent activity, with Agenta last updated 8 hours ago and Langfuse 7 hours ago.
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: Agenta uses Python.
Project Maturity
Both projects started around the same time, with Agenta beginning 3 years ago and Langfuse 3 years ago.
Licensing
Both projects use the MIT license, providing identical terms for usage and distribution.
Use Cases & Features
Both tools serve similar use cases in LLM Observability & Evaluation.
Hosting & Deployment
Both Agenta and Langfuse offer self-hosting capabilities, giving you full control over your data and infrastructure.
Capture – Capture screenshots, generate PDFs, scrape content, extract metadata, and automate browsers with one API.