Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Durable
WiX
Namelix
MarsX
Webflow
Captain
Glambase
Stunning
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 DurableBased on our record, Langfuse should be more popular than Durable. It has been mentiond 28 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.
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 / 4 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 / 23 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 interested in building a website like durable, where I can use AI to build and generate a website for users in less than 30 seconds, especially for beginners. Source: almost 3 years ago
Durable AI I don't think I like these AI atm (AI that helps you create website in seconds) but they seem to be evolving really fast and this one has so much traffic so it should be working. Source: almost 3 years ago
Durable - AI website builder that generates an entire website with images and copy in seconds. Source: about 3 years ago
I use Debuild and Durable for work . Both are crazy easy to use, but I donโt know what the cost is like. Source: about 3 years ago
Here are AI-based services that you can use to create a landing page: LandingAI or Durable. Source: about 3 years ago
Helicone AI - Open-source LLM Observability for Developers
WiX - Create a free website with Wix.com. Customize with Wix' website builder, no coding skills needed. Choose a design, begin customizing and be online today
LangSmith - Build and deploy LLM applications with confidence
Namelix - AI business name generator
LangChain - Framework for building applications with LLMs through composability
MarsX - MarsX leverages the power of AI to help users build mobile and web applications using code and no-code technology. MarsX is highly accessible, allowing even non-developers and those with zero building and coding experience to create their own mobile
