
Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
PromptLayer
Portkey
CodeKeep
thiscodeWorks
CodeMyUI
Creative Tim Bits
Forge
30 seconds of code
Codespace
Anyfiddle
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
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Based on our record, Langfuse should be more popular than CodeKeep. 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 / 29 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 2 months 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 2 months 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 2 months 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 / 2 months ago
I have made https://codekeep.io for storing snippets, have similar features to evernote. All users will get free pro membership now. If you are thinking about moving , please consider codekeep too. - Source: Hacker News / 6 months ago
I had a similar idea and created https://codekeep.io , it also has an option to generate screenshots of code https://codekeep.io/screenshot. - Source: Hacker News / about 1 year ago
Hi there, I'm Jithin, a full-stack developer with ~9 years of experience looking for exciting new opportunities (remote or relocation friendly). I'm passionate about building robust, scalable cloud-native solutions with a focus on Golang microservices, GraphQL APIs, Next.js frontend. My experience extends to a diverse range of technologies which can be viewed on https://jithin.im I am also the founder of... - Source: Hacker News / almost 2 years ago
Create an account on https://codekeep.io. - Source: dev.to / over 5 years ago
I have also created a similar product, its called codekeep http://codekeep.io , - google keep for codesnippets that allows users to tag and organize snippets. - Source: Hacker News / over 4 years ago
Helicone AI - Open-source LLM Observability for Developers
thiscodeWorks - Save and share code that works
LangSmith - Build and deploy LLM applications with confidence
CodeMyUI - Handpicked code snippets you can use in your web projects
LangChain - Framework for building applications with LLMs through composability
Creative Tim Bits - Code snippets for easier coding