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Langfuse

Langfuse

Open Source LLM Engineering Platform

5.0•49 reviews•

2.1K followers

Open Source LLM Engineering Platform

5.0•49 reviews•

2.1K followers

2023 Golden Kitty Awards
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AI Infrastructure Tools
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AI Metrics and Evaluation
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. All platform features are natively integrated to accelerate the development workflow. Langfuse is open. It works with any model, any framework, allows for complex nesting, and has open APIs to build downstream use cases. Docs: https://langfuse.com/docs Github: https://github.com/langfuse/langfuse
  • Overview
  • Launches4
  • Reviews49
  • Alternatives
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Company Info
langfuse.comGitHub
Langfuse Info
Y Combinator
Launched in 2023View 4 launches
Forum
p/langfuse
Awards
2023 Golden Kitty Awards
2023 Golden Kitty Awards
Langfuse Prompt Experiments was ranked #5 of the day for November 22nd, 2024
Langfuse 2.0 was ranked #1 of the day for April 26th, 2024
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Langfuse reviews

The community submitted 49 reviews to tell us what they like about Langfuse, what Langfuse can do better, and more.

5.0
Based on 49 reviews
Review Langfuse?

Langfuse is highly praised for its robust LLM observability and debugging capabilities, making it a preferred choice for developers. Makers from Lingo.dev and Touring commend its reliability and utility in monitoring LLM pipelines. Truva makers appreciate its role in managing AI agents. Users highlight its seamless integration, open-source nature, and detailed analytics, which streamline development and debugging processes. Langfuse's flexibility and supportive community further enhance its appeal in the LLM space.

Shashwat VermaDanMichael Weissenboeck
+46
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Pros
LLM observability (10)
open source (6)
detailed tracing (4)
monitoring capabilities (4)
cost-effective (3)
easy to integrate (3)
free tier (3)
SDK availability (3)
seamless integration (3)
debugging tools (2)
Founder Reviews (16)
Other Reviews (33)
Lingo.dev
Max Prilutskiy
Max Prilutskiy
used Langfuse to buildLingo.dev
(1,092 points)
Extremely relilable LLM Engineering Platform.
Report
6mo ago
Draft Alpha
Nitesh Sharma
Nitesh Sharma
used Langfuse to buildDraft AlphaDraft Alpha
(422 points)
Thanks for the generous free tier and excellent LLM observability 🙌
Report
8mo ago
Yapify
Dan
Dan
used Langfuse to buildYapifyYapify
(660 points)
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into our drafting agent. The key benefits of Langfuse are: 1) (Real-time) visibility into agent performance 2) Detailed tracing that shows our system's decision-making process including the context 3) Open source with self-hosting options (huge win for us) Being able to host Langfuse on our own infrastructure while getting enterprise-grade LLM observability is exactly what we needed. Highly recommended for teams serious about understanding how their LLM systems actually work and to figure out how to improve them.
Report
25d ago
Rajtilak Bhattacharjee
Rajtilak Bhattacharjee
•50 reviews
Awesome!!! First, congratulations on the launch. Making LLM apps cost-effective is one of the priorities for the service that I am working on. This should help. Just a quick question, can this be used in tandem with Langsmith?
Report
2yr ago
Nimar Blume
Nimar Blume
•1 review
Stellar work @max_deichmann , @marc_klingen , @clemo_sf ! If anything, I dare to say a bit too good for a launch ;). Stoked to test it out on some projects - godspeed!
Report
2yr ago
Nikhil Kulkarni
Nikhil Kulkarni
•4 reviews
We use Langfuse to monitor our GPT usage - specifically to watch for token usage, monitor hallucinations, and trace through request history when things go wrong. Great product and even greater team! Highly recommend trying Langfuse!
Report
2yr ago
Collin Schneider
Collin Schneider
•1 review
This is awesome, congrats on the launch guys! LLMs always felt like such a black box for me, Langfuse seems to address these concerns. This is a huge win for the LLM space in general, I'm super excited to build on it!
Report
2yr ago
Philipp Hövelmann
Philipp Hövelmann
•1 review
Langfuse has been indispensable for us in leveraging LLMs. Its detailed tracing provides unrivaled clarity, streamlining our debug times and offering insights into both LLM and non-LLM actions. With seamless integrations, from Langchain to their SDKs, and insightful analytics on cost, feedback, and latency, it's the must-have tool for anyone in the LLM space. A bonus: their commitment to open source means flexibility for developers and is in line with the decentralized nature we love in crypto. Kudos to the Langfuse team!
Report
2yr ago
aseem gupta
aseem gupta
•2 reviews
Team is very fast in iterations. We are using langfuse and love what they are building.
Report
2yr ago
David
David
Droplet

Droplet

•4 reviews
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-facing chat applications, where latency becomes crucial. Congrats, Clemens, Marc, and Max!
Report
2yr ago
Fengjiao Peng
Fengjiao Peng
•1 review
Easy to integrate and very intuitive to use!! Highly recommend for anyone developing chatGPT products. Amazing founding team who are super detail-oriented and understands LLM products deeply, and cool to see the evolution of the open source project every week!
Report
2yr ago
Dave Wilson
Dave Wilson
•2 reviews
Brilliant product, this team is smashing it!
Report
1yr ago
Mostafizur Rahman
Mostafizur Rahman
•1 review
Nice to ............................................
Report
1yr ago