(Be the first to comment)
Unlock the full potential of LLM apps with Langfuse. Trace, debug, and improve performance with observability and analytics. Open-source and customizable.0
Visit website

What is Langfuse?

Langfuse is a comprehensive observability platform designed to empower developers and teams working with large language models (LLMs). It offers a suite of powerful features that enable users to instrument their applications, analyze complex logs, manage and version prompts, track metrics, and conduct model-based evaluations. Langfuse simplifies the development and deployment of LLM-powered applications, providing a centralized hub for monitoring, testing, and optimizing their performance.

Key Features

🔍 **Observability**: Instrument your application and start ingesting traces to Langfuse, allowing you to inspect and debug complex logs with ease.

📁 **Prompt Management**: Manage, version, and deploy prompts from within Langfuse, ensuring consistency and traceability across your LLM-powered solutions.

📊 **Analytics**: Track key metrics, such as cost, latency, and quality, and gain valuable insights from the comprehensive dashboards and data exports.

🧠 **Evaluations**: Collect and calculate scores for your LLM completions, run model-based evaluations, and gather user feedback to continuously improve your applications.

🧪 **Experimentation**: Test and track the behavior of your application before deployment, using datasets to benchmark performance and ensure consistent results.

Use Cases

1. **Enterprise AI Development**: Langfuse empowers large organizations to centralize the development, monitoring, and optimization of their LLM-powered applications, ensuring consistency, reliability, and scalability across multiple teams and projects.

2. **Startup AI Innovation**: Startups can leverage Langfuse to rapidly prototype, test, and deploy innovative LLM-based solutions, accelerating their time-to-market and minimizing the risk of production issues.

3. **Academic and Research Environments**: Researchers and academic institutions can use Langfuse to track, analyze, and compare the performance of various LLM models, facilitating cutting-edge advancements in natural language processing and artificial intelligence.


Langfuse is a game-changing observability platform that simplifies the development and deployment of LLM-powered applications. By providing a comprehensive suite of tools for instrumentation, prompt management, analytics, evaluations, and experimentation, Langfuse empowers teams to build, monitor, and optimize their AI-driven solutions with unprecedented efficiency and confidence. Try Langfuse today and experience the transformative impact of centralized observability on your LLM projects.

More information on Langfuse

Pricing Model
Starting Price
Global Rank
United States
Month Visit
Tech used
Cloudflare Analytics,Cloudflare CDN,Next.js,Vercel,Gzip,OpenGraph,Webpack,HSTS

Top 5 Countries

United States Viet Nam Germany United Kingdom Brazil

Traffic Sources

Direct Search Referrals Social Mail
Updated Date: 2024-04-30
Langfuse was manually vetted by our editorial team and was first featured on September 4th 2024.
Aitoolnet Featured banner

Langfuse Alternatives

Load more Alternatives
  1. Build and deploy LLM apps with confidence. A unified platform for debugging, testing, evaluating, and monitoring.

  2. Use our software & APIs to connect data sources, combine text, image & audio LLMs and configure workflows in a no-code UI.

  3. LangWatch provides an easy, open-source platform to improve and iterate on your current LLM pipelines, as well as mitigating risks such as jailbreaking, sensitive data leaks and hallucinations.

  4. Empower your team with LangTale, the platform designed to streamline the management of Large Languag

  5. We're in Public Preview now! Teammate Lang is all-in-one solution for LLM App developers and operations. No-code editor, Semantic Cache, Prompt version management, LLM data platform, A/B testing, QA, Playground with 20+ models including GPT, PaLM, Llama, Cohere.