lmnr
★ 3.4k
vs
mcp-stata
★ 88
lmnr vs mcp-stata
lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.; mcp-stata: This MCP server enables LLMs to execute Stata code, inspect data, export graphics, and verify results. It uses the proprietary pystata module included with Stata 17+ and requires Python 3.11+. The server supports various IDEs like Claude Desktop, Cursor, and VS Code via stdio transport.
01
TL;DR
lmnrObservability · ★ 3.4k
Debugging and understanding the execution flow and internal states of AI agents.
mcp-stataObservability · ★ 88
Run Stata commands for statistical analysis
02
Side-by-Side Comparison
Field
lmnrmcp-stataCategory
Observability
Observability
Stars
★ 3.4k
★ 88
License
Apache-2.0
AGPL-3.0
Install Command
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
uvx --refresh --refresh-package mcp-stata --from mcp-stata@latest mcp-stata
Updated
1d ago
5mo ago
Open Source
Yes
Yes
Tags
AI Observability, Tracing, LLM Evals
ai, econometrics, economics
03
Features
lmnr01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
mcp-stata01Execute Stata code
02Inspect data (dataset summaries and codebooks)
03Export graphics (histograms, scatterplots)
04Streaming graph caching
05Verify results (check stored r() and e() values)
04
Use Cases
lmnr↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
mcp-stata↳Run Stata commands for statistical analysis
↳Explore and summarize datasets
↳Create and export statistical graphs
05
Best For
lmnrEssentialTrending
mcp-stata—
FAQ
FAQ
What is the difference between lmnr and mcp-stata?
Both lmnr and mcp-stata are in the Observability category. lmnr has 3.4k stars, while mcp-stata has 88 stars.
Which is better, lmnr or mcp-stata?
The best choice depends on your use case. Choose lmnr if Debugging and understanding the execution flow and internal states of AI agents., and mcp-stata if Run Stata commands for statistical analysis.
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
Is mcp-stata free or open source?
Yes, mcp-stata is open source on GitHub (AGPL-3.0).
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