Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
Portkey
LastMile AI
PoseTracker API
QuickPose.ai
Sency.ai
ActivityWatch
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.
PoseTracker simplifies the implementation of real-time, on-edge pose estimation and movement analysis and tracking, enabling you to integrate cutting-edge technology into your applications with just a few lines of code. ๐ฒ
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Based on our record, Langfuse seems to be a lot more popular than PoseTracker API. While we know about 28 links to Langfuse, we've tracked only 1 mention of PoseTracker API. 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 / 25 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 1 month 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
๐ Dive deeper into what PoseTracker can do for you by visiting our website: https://posetracker.com/. Start integrating and testing it for FREE today! - Source: dev.to / over 2 years ago
Helicone AI - Open-source LLM Observability for Developers
QuickPose.ai - Add Pose Estimation to your app or product with simple APIs and SDKs
LangSmith - Build and deploy LLM applications with confidence
Sency.ai - Turn movement into intelligence
LangChain - Framework for building applications with LLMs through composability
ActivityWatch - Log what you do on your computer. Simple (yet powerful), extensible, no third parties.
