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stata-code
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stata-code

Active·★ 51·MIT·Updated 2026-10-21

`stata-code` is an agent-native Stata bridge that allows driving Stata from modern development environments like LLM agents, Jupyter notebooks, or VS Code using a unified Python core. It provides structured, token-efficient results and supports complex empirical econometrics workflows with cross-validation.

#Stata#Python#LLM Agents#Jupyter Notebook#VS Code Extension#Econometrics#Data Analysis#API Bridge
$ Install
$ pip install "stata-code[mcp,kernel]"
↗ Visit site★ GitHub
01

Features

01MIT License for open and commercial integration
02Unified, agent-native structured result format for LLMs
03Multiple frontends: Jupyter kernel, MCP server, VS Code extension, and CLI from a single Python core
04Supports Stata 17+ (pystata) and Stata 13+ (console backend without pystata)
05Built-in support for empirical econometrics workflows (DiD, IV, RDD) with cross-validation
02

Compatibility

Python 3.10+
Runtime
Verified via docs
Stata 17+
Runtime
Verified via docs
Stata 13+
Runtime
Verified via docs
Jupyter
Platform
Verified via docs
VS Code
IDE
Verified via docs
MCP Clients
Integration
Verified via docs
03

Quick start

1
$ pip install "stata-code[mcp,kernel]"
04

Use cases

↳Drive Stata commands and analyze results using LLM agents like Claude Code
↳Execute Stata code directly within Jupyter notebooks or JupyterLab
↳Develop Stata projects with enhanced features in VS Code, including syntax highlighting, outline, and code-lens runner
↳Automate and cross-validate complex empirical research workflows in econometrics
↳Integrate Stata into Python applications for programmatic control and data processing
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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
brycewang-stanford /
stata-code
↗

Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validation. | 面向实证研究的智能体 Stata 桥接器——在 Claude Code、Jupyter、VS Code 中用一套省 token 的结果格式跑 DiD/IV/RDD 与出版级表格,并支持 StatsPAI 跨栈交叉验证。

51MIT
Last commit2d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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