
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
Figstack
CodeStream
Refactor.io
GitHub
PullRequest.com
Codex
CodeFactor.io
SITA
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.
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Based on our record, Langfuse seems to be a lot more popular than Figstack. While we know about 32 links to Langfuse, we've tracked only 2 mentions of Figstack. 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 / 5 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 / 8 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 / 13 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 / 26 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
I tried understanding things on figstack.com but it wasn't much helpful. Source: over 3 years ago
Figstack is an intelligent coding companion for non-developers to understand code. You can use Figstack to ask questions about your code, have code explained step by step, translate between programming languages, etc... Source: almost 5 years ago
Helicone AI - Open-source LLM Observability for Developers
CodeStream - CodeStream helps development teams resolve issues faster, and improve code quality by streamlining code reviews inside your IDE
LangSmith - Build and deploy LLM applications with confidence
Refactor.io - Share your code instantly for refactoring and code review
LangChain - Framework for building applications with LLMs through composability
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.