Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Programming Hub
Codecademy
Free Code Camp
AlgoExpert.io
W3Schools
Py
Interview Cake
SoloLearn
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.
Langfuse Programming HubBased on our record, Langfuse seems to be a lot more popular than Programming Hub. While we know about 28 links to Langfuse, we've tracked only 2 mentions of Programming Hub. 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 / 10 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 / 29 days 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
I am using https://programminghub.io/ app to learn python. I think it is super simple to understand and it is only 7USD. Source: over 4 years ago
Programming Hub is an application developed in collaboration with Google experts, so you can be assured of the quality of the knowledge we learn here. It, like the above apps, offers a variety of programming languages such as Javascript, Python, C, C++... And after completing the course, you can get a certificate for that language (But you must register as a member). Only a Pro member will receive it). It also... - Source: dev.to / almost 5 years ago
Helicone AI - Open-source LLM Observability for Developers
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, weโve taught over 45 million people using a tested curriculum and an interactive learning environment.
LangSmith - Build and deploy LLM applications with confidence
Free Code Camp - Learn to code by helping nonprofits.
LangChain - Framework for building applications with LLMs through composability
AlgoExpert.io - A better way to prep for tech interviews