Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than Langfuse. While we know about 1016 links to Tailwind CSS, we've tracked only 10 mentions of Langfuse. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Langfuse is another open-source platform for debugging, analyzing, and iterating on language model applications. It offers tracing, evaluation, and prompt management. While Langfuse offers many capabilities, some (like the Prompt Playground and automated evaluation) are only available in the paid tier for self-hosted users. - Source: dev.to / about 1 month ago
It is reportedly used on websites like Langfuse and Million.dev. - Source: dev.to / 3 months ago
LangFuse is a monitoring and debugging platform for LLM-powered applications. It provides insights into token usage and costs. It can also analyze latency, and the performance of AI interactions. The platform allows debug prompts, and analyzes how they behave in production. - Source: dev.to / 4 months ago
You'll notice there's a lot of prompts in these examples. As you develop your prompts, you'll likely want to iterate and refine them over time. I recommend using tools like Langfuse or Langsmith for prompt management and metrics, making it easier to track performance and make improvements. - Source: dev.to / 4 months ago
Langfuse (https://langfuse.com). We started with observability and have branched out into more workflows over time (evals, prompt mgmt, playground, testing...). We have a bunch of traction and are looking for our fourth to sixth hire in scaling and building feature depth. We're hiring in person (4-5 days/week) in Berlin, Germany (salary ranges for each job 70k-130k, up to 0.35% equity). We value quality in... - Source: Hacker News / 4 months ago
Styling: Tailwind CSS (Assumed, common with Next.js). - Source: dev.to / 4 days ago
This article assumes the reader is a developer that knows their way around Markdown, TypeScript, React.js, and [Next.js] https://nextjs.org/). Familiarity with Tailwind-css would also be useful. - Source: dev.to / 20 days ago
Then I learned Tauri and used my favourite frontend framework SolidJS with TailwindCSS and DaisyUI to build the UI with MotionOne to add animations and Tauri to build the desktop/web/android/ios app. - Source: dev.to / 21 days ago
Shadcn/ui contains a set of beautifully designed and accessible components, and it works seamlessly with major React frameworks. It’s open-source and has amassed 85.5k (and counting) GitHub stars. It’s built on the shoulders of giants — Radix UI and Tailwind CSS, making it one of the best to work with. Unlike many other UI libraries, the components are not just installed as npm modules, they’re downloaded into... - Source: dev.to / about 1 month ago
We're going to investigate the difference in performance between Tailwind and Linaria. Tailwind, you already know. And Linaria has been getting quite a lot of traction since styled components went into maintenance mode recently. We'll cover why Linaria is a good choice for this comparison a bit further. - Source: dev.to / about 2 months ago
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