jQuery UI
jQuery
React Native
Babel
Composer
OpenSSL
Raven.js
Symfony
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
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.
LangfusejQuery UI is recommended for developers working on legacy projects that heavily rely on jQuery, or for quick, short-to-medium-term projects where ease of use and speed of implementation are paramount. It is also suitable for educational purposes, helping beginners understand DOM manipulation and UI interaction concepts. However, for new projects aimed at creating highly interactive and scalable applications, a framework or library that supports modern front-end technologies may be more appropriate.
Based on our record, Langfuse should be more popular than jQuery UI. It has been mentiond 32 times since March 2021. 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 once popular jQuery, with its strengths fully utilized in jQuery UI and Bootstrap, provides many UI components and is also friendly to backend developers, seemingly meeting the requirements. However, looking at their component implementation and resource loading forms—. - Source: dev.to / over 1 year ago
jQuery UI: An open-source library for building user interfaces based on jQuery. - Source: dev.to / almost 2 years ago
Fortunately, when I started web development in earnest, many of these issues were ironed out. By this point, there were still a handful of libraries that made writing complex interfaces with cross-browser support a little easier. Jquery UI, the first component library I used, supported accordions and other widgets. But the browser is constantly evolving, and we now have a native way of implementing this accordion... - Source: dev.to / about 2 years ago
Because WordPress is already have these jQuery & jQuery UI libraries (https://jqueryui.com/). Source: about 3 years ago
We still use jQuery + jQuery UI on our website because it is basically battle tested through 15+ years. https://jqueryui.com/ It is easy as hell. What's there to not like? I don't care to be called names or being old fashioned. I also don't care about "right" tooling for frontend. As far it works and it is robust and it is going to be around for many years, I am fine with it. - Source: Hacker News / over 3 years ago
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 5 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 8 days ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 13 days ago
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 25 days ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / 2 months ago
jQuery - The Write Less, Do More, JavaScript Library.
Helicone AI - Open-source LLM Observability for Developers
React Native - A framework for building native apps with React
LangSmith - Build and deploy LLM applications with confidence
Babel - Babel is a compiler for writing next generation JavaScript.
LangChain - Framework for building applications with LLMs through composability