Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
CodeBehind Framework
ASP.NET
ASP.NET Core
Django
Laravel
Ruby on Rails
Spring Framework
Flask
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.
CodeBehind library is a modern back-end framework and is an alternative to ASP.NET Core. This library is a programming model based on the MVC structure, which provides the possibility of creating dynamic aspx files in .NET Core and has high serverside independence. CodeBehind framework supports standard syntax and Razor syntax. This framework guarantees the separation of server-side codes from the design part (html) and there is no need to write server-side codes in the view.
Code Behind framework inherits every advantage of ASP.NET Core and gives it more simplicity, power and flexibility.
CodeBehind framework is an alternative to ASP.NET Core.
Langfuse CodeBehind FrameworkNo CodeBehind Framework videos yet. You could help us improve this page by suggesting one.
CodeBehind Framework's answer:
The Elanat team has created a very large content management system called Elanat CMS using the CodeBehind framework.
CodeBehind Framework's answer:
The CodeBehind framework is an engineering masterpiece; every project built with CodeBehind is modular and the project itself is a module. Return template is a wonderful feature of the CodeBehind framework; using the return template makes it unnecessary to add server-side codes in the HTML section.
CodeBehind Framework's answer:
The CodeBehind framework was created to compete with the default ASP.NET Core framework. Developing with CodeBehind framework is very easy and understandable, while developing in ASP.NET Core is hard and challenging.
CodeBehind Framework's answer:
CodeBehind framework has a simple and understandable structure. This framework is even faster than the default structure of cshtml pages in ASP.NET Core.
Based on our record, Langfuse should be more popular than CodeBehind Framework. 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 / 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 / 28 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
CodeBehind is a new back-end framework based on ASP.NET Core. CodeBehind is owned by the Elanat team and competes with Microsoft's default web frameworks (Razor Pages, MVC, and Blazer) on .NET Core. - Source: dev.to / about 2 years ago
As you can see, we introduced the modular structure of the powerful CodeBehind framework in practice. - Source: dev.to / over 2 years ago
CodeBehind page: Https://elanat.net/page_content/code_behind. - Source: dev.to / over 2 years ago
Helicone AI - Open-source LLM Observability for Developers
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
LangSmith - Build and deploy LLM applications with confidence
ASP.NET Core - With ASP.
LangChain - Framework for building applications with LLMs through composability
Django - The Web framework for perfectionists with deadlines
