Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
GitHub Skyline
GitMerch
Commit Print
GitHub Contributions
Git Skyline
GitHub City
JANDI
#GitHubWrapped
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 GitHub SkylineLangfuse might be a bit more popular than GitHub Skyline. We know about 28 links to it since March 2021 and only 19 links to GitHub Skyline. 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 / 9 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 / 27 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
- https://skyline.github.com : it is dead, like as Atom . - Source: Hacker News / about 2 years ago
GitHub Skyline provides a sci-fi-ish, synthwave-y visualization of your contributions for a given year that's viewable in your browser, in real life, or in virtual reality. - Source: dev.to / over 3 years ago
What about this? https://skyline.github.com/. Source: over 3 years ago
New You can now view your commit history in 3d or in VR. Source: about 4 years ago
I just saw this new feature on GitHub! And I am very excited to say this. Just Go to this URL http://skyline.github.com and enter your GitHub username. You will find a cool visualization of your contributions. Source: about 4 years ago
Helicone AI - Open-source LLM Observability for Developers
GitMerch - Get a T-shirt with your GitHub contribution map on it
LangSmith - Build and deploy LLM applications with confidence
Commit Print - Posters of your git history
LangChain - Framework for building applications with LLMs through composability
GitHub Contributions - All your GitHub contributions in one image