Langfuse is the open source LLM Engineering Platform. It provides observability, tracing, evaluations, prompt management, playground and metrics to debug and improve LLM apps. Langfuse is open. It works with any model, framework and you can export all data.
Hi Product Hunt 👋👋👋
I’m Clemens, co-founder of Langfuse (with @marc_klingen and @max_deichmann). We are so excited to be live on Product Hunt again today launching Langfuse 2.0!
We originally launched Langfuse right here in late August 2023 and made it to #1 Product of the Day. Earlier this year we were lucky enough to be awarded a Golden Kitty in the AI Infra category for 2023! Product Hunt holds a special place in our heart and company history.
Langfuse has come a long way. Last year, we set out to build open source observability and analytics for LLM apps. We saw a need and gap for a dev-focussed, open source and self-hostable product that allows for complex tracing and nesting of LLM and other workloads.
We are excited to introduce Langfuse 2.0 today. We have moved from an observability tool to a platform for LLM engineering.
The scope is now wider and the core product has matured so much since last year.
A few things you should know about:
👣 Tracing: TS & Python (new: decorator) + OpenAI, Llama Index, Langchain, Litellm + more
🤨 Eval Service: Automatically run evals against all new incoming traces
💾 Datasets: Collect, test and run fine-tuning, testing, and golden datasets in Langfuse
💯 Metrics: Dashboards and analytics on cost, latency and quality
🤖 Prompt Management: Version and deploy prompts from within Langfuse
🕹️ LLM Playground: Engineer your prompts with context in Langfuse
🏎️ Export & Fine Tune: Open GET API and csv/JSON exports to build downstream use cases
🚄 Scale: We’ve invested significantly in scaling and resilience as we’ve scaled to thousands of users and handle millions of events a day
🧑🤝🧑 Community: Join our thousands of users on GitHub Discussions and Discord
See for yourself:
⭐ GitHub: https://github.com/langfuse/lang...
⏯️ Demo (includes data, no credit card): https://langfuse.com/demo
📚 Docs: https://langfuse.com/docs
We’re excited to launch the all-new Langfuse on Product Hunt today. We will be in the comments the whole day and can’t wait to hear your thoughts & feedback!
About Langfuse 2.0 on Product Hunt
“the open source LLM engineering platform”
Langfuse 2.0 launched on Product Hunt on April 26th, 2024 and earned 747 upvotes and 102 comments, earning #1 Product of the Day. Langfuse is the open source LLM Engineering Platform. It provides observability, tracing, evaluations, prompt management, playground and metrics to debug and improve LLM apps. Langfuse is open. It works with any model, framework and you can export all data.
On the analytics side, Langfuse 2.0 competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Langfuse 2.0 performed against the three products that launched closest to it on the same day.
Who hunted Langfuse 2.0?
Langfuse 2.0 was hunted by Clemens Rawert. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Clemens Rawert