Svelte
React
Vue.js
Tailwind CSS
Next.js
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Langfuse
LangSmith
Datumo Eval
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PromptHub
We recommend LibHunt Svelte for discovery and comparisons of trending Svelte projects.
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.
Svelte LangfuseBased on our record, Svelte seems to be a lot more popular than Langfuse. While we know about 392 links to Svelte, 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.
The first time I visited https://svelte.dev , the non-flat-vector banner instantly won me. It just stands out from the world around it. I just sort of assumed the engineering was superior to the competition if they were going to lead with crimped metal (and was right). Flat design has always struck me as an extremist response to an issue. Windows Vista required everyone to be on the same page design-language wise... - Source: Hacker News / 14 days ago
Svelte as the main framework. (Whimsy is my first Svelte project, actually! And Svelte didn't disappoint. Almost.). - Source: dev.to / 18 days ago
We're going to build our Svelte application using the Svelte REPL sandbox (or just REPL) at svelte.dev. I recommend checking out all the great documentation at svelte.dev, like its Examples section showcasing Svelte's many features, as well as the cool interactive tutorial at learn.svelte.dev. - Source: dev.to / 18 days ago
In theory, “de-frameworking yourself” is cool, but in practice, it’ll just lead to you building what effectively is your own ad hoc less battle-tested, probably less secure, and likely less performant de facto framework. I’m not convinced it’s worth it. If you want something à la KISS[0][0], just use Svelte/SvelteKit[1][1]. Nowadays, the primary exception I see to my point here is if your goal is to better... - Source: Hacker News / 30 days ago
When I teased this series on LinkedIn, one comment quipped that Vue’s been around since 2014—“you should’ve learned it by now!”—and they’re not wrong. The JS ecosystem churns out UI libraries like Svelte, Solid, RxJS, and more, each pushing reactivity forward. React’s ubiquity made it my go-to for stability and career momentum. Now I’m ready to revisit new patterns and sharpen my tool-belt. - Source: dev.to / about 1 month ago
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
React - A JavaScript library for building user interfaces
LangSmith - Build and deploy LLM applications with confidence
Vue.js - Reactive Components for Modern Web Interfaces
Datumo Eval - Discover Datumo Eval, the cutting-edge LLM evaluation platform from Datumo, designed to optimize AI model accuracy, reliability, and performance through advanced evaluation methodologies.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Braintrust - Braintrust connects companies with top technical talent to complete strategic projects and drive innovation. Our AI Recruiter can 100x your recruiting power.
