Langfuse
Langfuse is an open-source LLM engineering platform that provides observability, analytics, evaluations, prompt management, and experimentation features to help teams debug, analyze and improve their LLM applications.
https://langfuse.com?ref=aipure
Product Information
Updated:May 16, 2025
Langfuse Monthly Traffic Trends
Langfuse saw a 17.9% decline in traffic, reaching 340K visits. The lack of recent product updates or significant market activities might have contributed to this drop.
What is Langfuse
Langfuse is a comprehensive platform designed specifically for Language Learning Model (LLM) engineering and development. As an open-source solution backed by Y Combinator, it offers essential tools for managing and optimizing LLM applications. The platform integrates seamlessly with popular frameworks like OpenAI SDK, LlamaIndex, Langchain, and more, while maintaining high security standards with SOC 2 Type II and ISO 27001 certifications. Users can choose between a managed cloud offering or self-host the platform, with most core features available under an MIT license.
Key Features of Langfuse
Langfuse is an open-source LLM engineering platform that provides comprehensive tools for observability, analytics, and experimentation of LLM applications. It offers features like tracing, evaluation, prompt management, and metrics collection to help developers debug and improve their LLM applications. The platform integrates with popular frameworks like OpenAI, LangChain, and LlamaIndex, while supporting multiple programming languages through its SDKs.
Comprehensive Observability: Captures full context of LLM applications including LLM inference, embedding retrieval, API usage, and system interactions to help pinpoint problems
Quality Measurement & Analytics: Enables attaching scores to production traces through model-based evaluations, user feedback, manual labeling, and custom metrics to measure quality over time
Prompt Management: Provides tools for managing and versioning prompts, allowing teams to experiment with different versions and track their performance
Multi-modal Support: Fully supports tracing of multi-modal LLM applications, including text, images, audio, and attachments with configurable storage options
Use Cases of Langfuse
RAG Pipeline Optimization: Teams can evaluate and monitor their Retrieval-Augmented Generation pipelines using Ragas integration for reference-free evaluations
Enterprise LLM Development: Large organizations like Khan Academy and Twilio use Langfuse to monitor and improve their production LLM applications
Collaborative Development: Development teams can work together using features like code sharing, real-time collaboration, and version control integration for faster issue resolution
Pros
Open-source with MIT license for core features
Extensive integration support with popular LLM frameworks
Enterprise-grade security with SOC 2 Type II and ISO 27001 certification
Active community and regular feature updates
Cons
Some peripheral features require commercial licensing
Requires setup of additional infrastructure for certain features like media storage
How to Use Langfuse
1. Create Langfuse Account: Sign up for a Langfuse account at cloud.langfuse.com or self-host using Docker
2. Get API Keys: Go to project settings and create a new set of API keys (LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY)
3. Install SDK: Install the Langfuse SDK using pip: pip install langfuse
4. Set Environment Variables: Set your Langfuse credentials as environment variables: LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, and LANGFUSE_HOST
5. Initialize Langfuse Client: Create a Langfuse client instance in your code: from langfuse import Langfuse; langfuse = Langfuse()
6. Instrument Your Application: Add tracing to your LLM calls using either automated integrations (OpenAI, Langchain, LlamaIndex) or manual instrumentation with @observe decorator
7. Create Traces: Create traces to log LLM interactions including prompts, completions, and metadata using langfuse.trace() or automated integrations
8. Add Scoring (Optional): Implement scoring to evaluate quality of outputs using langfuse.score() or automated evaluation tools like RAGAS
9. View Analytics: Access the Langfuse dashboard to view traces, metrics, costs, latency and quality scores
10. Manage Prompts (Optional): Use the Prompt Management feature to version and update prompts via the Langfuse UI
Langfuse FAQs
Langfuse is an open-source LLM engineering platform that provides observability, analytics, and experimentation features for LLM applications. It helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Official Posts
Loading...Langfuse Video
Popular Articles
Best 5 NSFW Characters Generator in 2025
May 29, 2025
Google Veo 3: First AI Video Generator to Natively Support Audio
May 28, 2025
Top 5 Free AI NSFW Girlfriend Chatbots You Need to Try—AIPURE’s Real Review
May 27, 2025
SweetAI Chat vs CrushOn.AI: The Ultimate NSFW AI Girlfriend Showdown in 2025
May 27, 2025
Analytics of Langfuse Website
Langfuse Traffic & Rankings
340.2K
Monthly Visits
#92295
Global Rank
#1262
Category Rank
Traffic Trends: Oct 2024-Apr 2025
Langfuse User Insights
00:06:24
Avg. Visit Duration
7.51
Pages Per Visit
36.8%
User Bounce Rate
Top Regions of Langfuse
US: 27.34%
GB: 7.62%
CN: 7.52%
CA: 6.59%
IN: 6.38%
Others: 44.54%
Latest AI Tools Similar to Langfuse
Gait
Gait is a collaboration tool that integrates AI-assisted code generation with version control, enabling teams to track, understand, and share AI-generated code context efficiently.
invoices.dev
invoices.dev is an automated invoicing platform that generates invoices directly from developers' Git commits, with integration capabilities for GitHub, Slack, Linear, and Google services.
EasyRFP
EasyRFP is an AI-powered edge computing toolkit that streamlines RFP (Request for Proposal) responses and enables real-time field phenotyping through deep learning technology.
Cart.ai
Cart.ai is an AI-powered service platform that provides comprehensive business automation solutions including coding, customer relations management, video editing, e-commerce setup, and custom AI development with 24/7 support.
Popular AI Tools Like Langfuse
GitHub Copilot Chat
GitHub Copilot Chat is an AI-powered coding assistant that provides natural language interactions, real-time code suggestions, and contextual support directly within supported IDEs and GitHub.com.
CopilotForXcode
CopilotForXcode is an Xcode Source Editor Extension that integrates GitHub Copilot, Codeium, and ChatGPT to provide AI-powered code suggestions, chat assistance, and prompt-to-code functionality within Xcode.
BrowserAI
BrowserAI is an open-source library that enables running local Large Language Models (LLMs) directly in web browsers with WebGPU acceleration, offering privacy-focused AI capabilities without requiring server infrastructure.
OpenAI Codex CLI
OpenAI Codex CLI is a lightweight, open-source coding agent that runs in your terminal, enabling developers to translate natural language into code execution while providing ChatGPT-level reasoning with the ability to run code, manipulate files, and iterate under version control.