Laminar
Laminar is an open-source all-in-one platform that provides comprehensive instrumentation, observability, and analytics for engineering best-in-class LLM applications with features like tracing, evaluation, and prompt chain management.
https://www.lmnr.ai?ref=aipure
Product Information
Updated:Feb 16, 2025
Laminar Monthly Traffic Trends
Laminar received 8.6k visits last month, demonstrating a Slight Growth of 10%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Laminar
Founded in 2024 by Robert Kim and Din Mailibay, Laminar AI is a Y Combinator-backed company that offers a unified platform for building, deploying, and monitoring production-grade AI applications. Written in Rust for fast and reliable performance, Laminar serves as an open-source developer platform that combines trace data with event-based analytics, helping teams collect, understand, and utilize data that governs the quality of their LLM applications. The platform can be either self-hosted or used as a managed service.
Key Features of Laminar
Laminar is an open-source all-in-one platform designed for engineering LLM products, offering comprehensive tools for tracing, evaluating, and managing LLM applications. It provides zero-overhead observability, dataset building capabilities, prompt chain management, and automated evaluation features, all while being fully open-source and easy to self-host.
Zero-overhead Observability: Traces are sent in the background via gRPC with minimal overhead, supporting both text and image models, providing clear visibility into every step of execution
Automated Evaluations: Enables setup of LLM-as-a-judge or Python script evaluators to automatically run on received spans, making evaluation more scalable than human labeling
Dataset Building: Allows creation of datasets from traces that can be used for evaluations, fine-tuning, and prompt engineering
Prompt Chain Management: Supports building and hosting complex chains including mixtures of agents and self-reflecting LLM pipelines
Use Cases of Laminar
LLM Application Development: Helps developers track and optimize their LLM applications in production with comprehensive monitoring and analytics
AI Model Evaluation: Enables teams to set up automated evaluation pipelines for assessing LLM performance without manual intervention
Production Monitoring: Provides tools for monitoring and analyzing LLM applications in production environments with full trace visualization and search capabilities
Pros
Fully open-source and self-hostable
Minimal overhead on application performance
Comprehensive suite of tools for LLM development and monitoring
Cons
Currently limited to text and image models (audio support pending)
Requires technical setup and integration
How to Use Laminar
Install Laminar: Install using pip: pip install lmnr
Get Project API Key: Create a project on lmnr.ai and generate a Project API Key from the settings page under 'Project API keys' section
Set Environment Variable: Add your API key to environment variables: echo 'LMNR_PROJECT_API_KEY=<YOUR_PROJECT_API_KEY>' >> .env
Initialize Laminar in Code: Import and initialize Laminar in your Python code: from lmnr import Laminar as L; L.initialize('<YOUR_PROJECT_API_KEY>')
Instrument LLM Calls: Use the @observe() decorator to trace functions that make LLM calls. This will automatically collect execution data
Set Up Evaluations (Optional): Configure LLM-as-a-judge or Python script evaluators to automatically evaluate and label traces as they arrive
Build Datasets: Use collected traces to build datasets that can be used for evaluations, fine-tuning and prompt engineering
Create Prompt Chains: Use the UI to build and manage complex LLM chains and pipelines beyond single prompts
Deploy Pipeline: Once ready, deploy your pipeline by selecting the target version. Call it from Python using L.run() with pipeline name and inputs
Monitor & Analyze: Use the Laminar dashboard to visualize traces, search through them, and analyze usage patterns of your LLM application
Laminar FAQs
Laminar is an open-source all-in-one platform for engineering LLM (Large Language Model) products. It helps collect, understand, and use data to improve LLM applications.
Official Posts
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Analytics of Laminar Website
Laminar Traffic & Rankings
8.6K
Monthly Visits
#2641466
Global Rank
-
Category Rank
Traffic Trends: Jun 2024-Jan 2025
Laminar User Insights
00:00:09
Avg. Visit Duration
1.93
Pages Per Visit
43.08%
User Bounce Rate
Top Regions of Laminar
US: 32.27%
KZ: 21.34%
GB: 11.25%
CA: 10.73%
DE: 8.75%
Others: 15.66%
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