What do people think of Langfuse?
The community submitted 22 reviews to tell
us what they like about Langfuse, what Langfuse can do better, and
more.
What do you think about Langfuse?
Leave a rating or review for the community
5/5All time (22 reviews)
5/5
Recently (3 reviews)22 Reviews
This looks absolutely brilliant idea to track and stay informed about the performance of LLM applications. I am in the process of building one and certainly give it a try to measure my LLM app.
Have been using Langfuse for analytics for our chatbots and have to say its quite well done! Kudos to the team for such an amazing execution! I am definitely going to be a long term user.
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!
Needed to make sense of any LLM effort quickly.
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
How does Langfuse manage to streamline the process of exploring complex logs and traces, making it efficient and user-friendly? Exciting to see how this tool can elevate app observability and analytics!
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!
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!
You might also like
Giskard
Open-source testing framework for LLMs & ML models
Ferret
Refer and ground anything anywhere at any granularity
Lakera
Protect your LLM applications with a few lines of code.
Superpowered AI
API for Retrieval Augmented Generation (RAG)
Grok-1
Open source release of xAI's LLM
Boogie
Build LLM applications fast and iterate