
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
Guideflow
Supademo
Navattic
Storylane.io
Arcade
Walnut.io
Walnut
Karumi.ai
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.
Guideflow is the easiest and most advanced platform for creating interactive product demos and guides in seconds.
Capture your flow with our Chrome extension (screenshot- or HTML-based), customize your interactive demo to your brand, and personalize it for each user or lead. Share your demo with everyone, anywhere through public links, embed widgets, and more. Analyze your audience’s behavior with advanced insights.
Interactive demos can be used by various teams:
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Based on our record, Langfuse seems to be more popular. It has been mentiond 32 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.
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 6 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 10 days ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 15 days ago
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 27 days ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / 2 months ago
Helicone AI - Open-source LLM Observability for Developers
Supademo - Create beautifully interactive product demos and guides with AI.
LangSmith - Build and deploy LLM applications with confidence
Navattic - Create shareable product demos
LangChain - Framework for building applications with LLMs through composability
Storylane.io - Storylane helps companies build and share interactive product demos with their prospects in 10 mins. Guided experiences can be built code-less and helps convert customers faster.