Stata Python Packages

stata-mcp

Integrate Stata into your agent.

mcp-stata

A lightweight Model Context Protocol (MCP) server for Stata. Execute commands, inspect data, retrieve stored results (r()/e()), and view graphs in your chat interface. Built for economists who want to integrate LLM assistance into their Stata workflow.

polars-readstat

Polars IO plugin to read SAS (sas7bdat), Stata (dta), and SPSS (sav) files

statspai

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

scpi-pkg

Synthetic Control Methods

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。

nbstata

A Jupyter kernel for Stata built on pystata

ipystata

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

stata-kernel

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

texiv

A machine learning–based method for transforming text into instrumental variables (IV).

pydatau

Batch Statistical Data Utilities

jupyterlab-stata-highlight3

Stata syntax highlighting for JupyterLab 4+.

jupyterlab-stata-highlight2

JupyterLab extension for Stata syntax highlighting similar to the Stata IDE's.

jupyter-doexport

A package to convert jupyter notebooks to Stata do-files

statahelper

a simplified wrapper for Pystata parallelization

iflow-mcp-stata-mcp

Let LLM help you achieve your regression analysis with Stata

shapeshifter

Transform, query, and merge tabular files with the expressionable Python module. This tool is used primarily for gene-expression data.

expressionable

Transform, query, and merge tabular files with the expressionable Python module. This tool is used primarily for gene-expression data.

expressionable-cli

Transform, query, and merge tabular files with the expressionable command-line tool. This tool is used primarily for gene-expression data.

shapeshifter-cli

Transform, query, and merge tabular files with the expressionable command-line tool. This tool is used primarily for gene-expression data.

iflow-mcp-tmonk-mcp-stata

A lightweight Model Context Protocol (MCP) server for Stata. Execute commands, inspect data, retrieve stored results (`r()`/`e()`), and view graphs in your chat interface. Built for economists who want to integrate LLM assistance into their Stata workflow.

mydatau

Batch Statistical Data Utilities

usecasen

Modern Python library for downloading and analyzing Chilean CASEN survey data

usebcrp

Python library that consumes the BCRP API, you can query the series and define the time range.