Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
CoffeeScript
Octoparse
Diggernaut
eScraper
Agenty
Typescript
JavaScript
artoo.js
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.
We recommend LibHunt CoffeeScript for discovery and comparisons of trending CoffeeScript projects.
Langfuse CoffeeScriptCoffeeScript may be recommended for developers maintaining legacy CoffeeScript projects, or for those who prefer its syntax over JavaScript and are working on small projects. It might also be useful for educational purposes to understand how language features influence each other.
CoffeeScript might be a bit more popular than Langfuse. We know about 28 links to it since March 2021 and only 28 links to 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.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 15 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 1 month ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
Not literally. And I would hardly say it was a matter of language superiority. I love Ruby myself. But Github was a lot simpler when it was still just a Rails app. But Rails was SSR by default, and most of the frontend was just Embedded Ruby (ERB) template files all over the place. And way back when, it was even relatively common to use Javascript supersets like CoffeeScript[1] and Opal[2]. The latter being Ruby... - Source: Hacker News / about 1 month ago
Surely coffeescript would have been more appropriate? [0]: https://coffeescript.org/. - Source: Hacker News / 6 months ago
My personal take is this would be like JavaScript adopting an optional Coffeescript[1] syntax. It's so different that it seems odd to make it an option vs a new language, etc. [1] https://coffeescript.org/#introduction. - Source: Hacker News / 7 months ago
JS isn't perfect, but it's good enough. And there is ongoing effort to make it even better. Also, many other languages compile to JS (without WASM). Notably: - https://www.typescriptlang.org/ - https://coffeescript.org/ - https://clojurescript.org/ - https://www.transcrypt.org/ I wrote https://multi-launch.leftium.com, which is only 6% JS. The majority is Svelte (65%) + TypeScript (27%). ( - Source: Hacker News / over 2 years ago
As a front-end web developer, do you still use CoffeeScript or jQuery? Unlikely, as TypeScript, ES/TC39 and Babel (and the retirement of Internet Explorer thanks to @codepo8 and his EDGE team) have helped to transform JavaScript into some kind of a modern programming language. - Source: dev.to / over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
LangSmith - Build and deploy LLM applications with confidence
Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.
LangChain - Framework for building applications with LLMs through composability
eScraper - eScraper is an eCommerce data scraping tool that collects data from multiple sites and prepares a relevant .csv or excel file with all product info for your stores, whether its, PrestaShop, Magento, WooCommerce, or Shopify store.