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Langfuse

Open-source LLM engineering platform for collaborative debugging and analysis.

Open Source

About Langfuse

Langfuse is a cutting-edge open-source LLM engineering platform that has revolutionized the way teams debug, analyze, and iterate on their language model applications in 2026. Designed for collaborative work, Langfuse offers a comprehensive suite of tools that enhance the performance of language models by providing robust observability, metrics, prompt management, and evaluation capabilities. As the demand for efficient and reliable LLM applications continues to grow, Langfuse stands out as a leader in the industry, trusted by numerous Fortune 500 companies. The platform's open-source nature allows for unparalleled customization and flexibility, making it an ideal choice for both small teams and large enterprises. With a strong emphasis on security and data privacy, Langfuse ensures that users can confidently develop and deploy LLM applications without compromising on safety. Whether you're a developer looking to optimize your AI models or a business aiming to leverage advanced language processing technologies, Langfuse provides the tools and support necessary to achieve your goals. Its integration capabilities with popular LLM libraries and frameworks further enhance its appeal, solidifying its position as a must-have tool in the AI development landscape of 2026.

AI Code Analysis AI Community-Powered Media Generation AI Observability AI Tool Comparison AI Language Model Optimization AI LLM Monitoring and Management AI Local Model Deployment AI Design AI Data Privacy AI Intelligent Coding AI Private AI Workflows AI LLM Engineering AI Autonomous Development AI Prompt Management AI Application Management AI Language and Code Integration AI Natural Language Processing Services AI Avatar and Character Generation AI Awareness AI Automation AI Code Insights AI DevOps AI Language Processing AI Language Model Experimentation AI Multilingual Communication

Langfuse Key Features

  • Collaborative debugging tools for team-based LLM troubleshooting.
  • Metrics dashboard for monitoring LLM performance over time.
  • Prompt management system for organizing and testing prompts.
  • Evaluation tools for assessing model outputs and accuracy.
  • Observability features to track model behavior in real-time.

Langfuse Pricing Plans (2026)

Recommended

Hobby

Free /monthly
  • LLM Application & Agent Tracing
  • Prompt Management
  • Evaluation
  • Public API
  • Community support via GitHub
  • 50k units/month included
  • 30 days data access
  • 2 users
Recommended

Core

$29/month /monthly
  • 100k units/month included
  • 90 days data access
  • Unlimited users
  • In-app support
  • Additional usage costs $8/100k units
  • Lower rate limits compared to Pro
Recommended

Pro

$199/month /monthly
  • Unlimited history
  • High rate limits
  • All platform features
  • SOC2 & ISO27001 reports
  • Additional usage costs $8/100k units
  • Optional Teams Add-on for $300/month

Enterprise

$2499/month /monthly
  • Custom rate limits
  • Audit Logs
  • SCIM API
  • Dedicated support engineer
  • Requires contact with sales for setup
  • Custom terms and pricing

Langfuse Pros

  • + Open-source platform allows for extensive customization and flexibility.
  • + Comprehensive observability and metrics enhance debugging and optimization.
  • + Robust prompt management tools improve model performance and user satisfaction.
  • + Seamless integration with popular LLM libraries and frameworks.
  • + Strong security and compliance features ensure data protection.
  • + Extensive support and documentation facilitate ease of use and implementation.

Langfuse Cons

  • May require technical expertise to fully leverage all features.
  • Initial setup can be complex for users unfamiliar with LLM platforms.
  • Some advanced features may have a learning curve.
  • Free tier has usage limitations that may not suffice for larger projects.
  • Enterprise pricing may be high for smaller organizations.

Langfuse Use Cases

Debugging LLM issues collaboratively within a development team.Monitoring performance metrics to optimize LLM responses.Organizing and refining prompts for better model interactions.Evaluating model outputs to ensure quality and relevance.

What Makes Langfuse Unique

Open-Source Flexibility

Langfuse's open-source nature allows for extensive customization, setting it apart from proprietary platforms that may have limited adaptability.

Comprehensive Observability

The platform's observability features provide deep insights into application performance, which is crucial for effective debugging and optimization.

Robust Security and Compliance

Langfuse's adherence to SOC2 and ISO27001 standards ensures data protection, making it a preferred choice for security-conscious organizations.

Extensive Integration Capabilities

With support for popular LLM libraries and frameworks, Langfuse offers seamless integration, enhancing its utility across different development environments.

Collaborative Debugging Tools

Langfuse's tools for collaborative debugging and analysis enable teams to work together effectively, reducing time to resolution for issues.

Who's Using Langfuse

Fortune 500 Companies

These companies use Langfuse to enhance the performance and reliability of their LLM applications, benefiting from the platform's robust features and support.

AI Development Teams

Teams focused on AI development leverage Langfuse for its collaborative debugging and analysis tools, which accelerate the development process.

Research Institutions

Research institutions utilize Langfuse's prompt management and evaluation features to conduct experiments and improve language model accuracy.

Enterprises in Regulated Industries

Enterprises in industries such as healthcare and finance use Langfuse for its strong security and compliance features, ensuring data protection.

Startups

Startups benefit from Langfuse's open-source nature and flexible pricing, allowing them to develop and scale LLM applications efficiently.

How We Rate Langfuse

7.8
Overall Score
Langfuse offers a robust and flexible platform for LLM development, with strong features and support, though some users may find the initial setup complex.
Ease of Use
8
Value for Money
7
Performance
8
Support
7.5
Accuracy & Reliability
8
Privacy & Security
7.5
Features
8
Integrations
8
Customization
7.5

Langfuse vs Competitors

Langfuse vs Warestack

Warestack is a robust competitor offering similar LLM development tools. However, Langfuse's open-source nature and comprehensive observability features provide greater flexibility and insights for debugging and optimization.

Advantages
  • + Open-source flexibility
  • + Comprehensive observability
  • + Robust security compliance
  • + Extensive integration capabilities
Considerations
  • May require technical expertise for setup
  • Higher pricing for enterprise features

Langfuse Frequently Asked Questions (2026)

What is Langfuse?

Langfuse is an open-source LLM engineering platform designed for collaborative debugging, analysis, and iteration of language model applications.

How much does Langfuse cost in 2026?

Langfuse offers a free Hobby plan, with Core at $29/month, Pro at $199/month, and Enterprise at $2499/month.

Is Langfuse free?

Yes, Langfuse offers a free Hobby plan suitable for hobby projects and proofs of concept.

Is Langfuse worth it in 2026?

Given its comprehensive features, security, and open-source flexibility, Langfuse is a valuable tool for LLM development in 2026.

Best Langfuse alternatives in 2026?

Alternatives include Warestack, Opsera, TraceRoot AI, Zuzia.app, and Calmo.

Langfuse vs competitors in 2026?

Langfuse stands out for its open-source nature, robust observability, and security features compared to competitors like Warestack and Opsera.

How to get started with Langfuse?

Sign up for a free account on Langfuse's website, explore the documentation, and integrate the SDKs into your applications.

What platforms does Langfuse support?

Langfuse supports integration with popular LLM libraries and frameworks, as well as Python and JavaScript/TypeScript SDKs.

Is Langfuse safe and secure?

Yes, Langfuse complies with SOC2 and ISO27001 standards, ensuring data privacy and security for its users.

Who should use Langfuse?

Langfuse is ideal for AI development teams, enterprises, research institutions, startups, and Fortune 500 companies.

What's new in Langfuse 2026?

Langfuse continues to enhance its features and security measures, maintaining its position as a leading LLM engineering platform.

How does Langfuse compare to alternatives?

Langfuse offers unique advantages such as open-source flexibility and strong security, making it a competitive choice among LLM platforms.

Langfuse on Hacker News

24
Stories
606
Points
110
Comments

Langfuse Quick Info

Pricing
Open Source
Upvotes
189
Added
January 3, 2026

Langfuse Is Best For

  • AI Development Teams seeking collaborative debugging tools
  • Enterprises requiring secure and compliant LLM platforms
  • Research Institutions conducting language model experiments
  • Startups looking for cost-effective LLM development solutions
  • Fortune 500 Companies optimizing LLM application performance

Langfuse Integrations

OpenTelemetryPython SDKJavaScript/TypeScript SDKOpenAIVarious LLM libraries and frameworks

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