Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
OrbStack
Warp Terminal
Podman
pkgx
Podman Desktop
Vite
Tuist
Sindre Sorhus
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 OrbStackOrbStack might be a bit more popular than Langfuse. We know about 36 links to it since March 2021 and only 28 links to Langfuse. 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 / 1 day 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 / 20 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 1 month ago
You might find OrbStack useful here as a replacement for Docker Desktop. So much faster and uses way less resources: https://orbstack.dev/. - Source: Hacker News / 2 months ago
On macOS, I recommend OrbStack. It is lighter than Docker Desktop. - Source: dev.to / 3 months ago
There are a bunch of options to run containers locally on macOS. In addition to the dominant Docker Desktop, there are other excellent tools like OrbStack, Podman/Podman Desktop and even a solution from Apple starting with macOS 26 (Tahoe). - Source: dev.to / 5 months ago
Another alternative (although Mac OS-only) is [0] OrbStack. Some devs in my team are running it as a more performant alternative to Docker Desktop for Mac and they are very happy so far. [0]: https://orbstack.dev. - Source: Hacker News / 4 months ago
Have you tried https://orbstack.dev/? - Source: Hacker News / 6 months ago
Helicone AI - Open-source LLM Observability for Developers
Warp Terminal - The terminal for the 21st century. Warp is a blazingly fast, rust-based terminal reimagined from the ground up to work like a modern app.
LangSmith - Build and deploy LLM applications with confidence
Podman - Simple debugging tool for pods and images
LangChain - Framework for building applications with LLMs through composability
pkgx - the developer tool to run anything, anywhere