Stata Python Packages

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.

stata-mcp

Let LLM help you achieve your regression with Stata. Evolve from reg monkey to causal thinker.

polars-readstat

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

nbstata

A Jupyter kernel for Stata built on pystata

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

ipystata

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

statahelper

Simple parallelization wrapper over Pystata

jupyterlab-stata-highlight2

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

jupyter-doexport

A custom exporter to export Stata Jupyter Notebooks to do-files

shapeshifter

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

jupyterlab-stata-highlight3

Stata syntax highlighting for JupyterLab 4+

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.

iflow-mcp-stata-mcp

Let LLM help you achieve your regression with Stata. Evolve from reg monkey to causal thinker.

shapeshifter-cli

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

mydatau

Batch Statistical Data Utilities

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.

usecasen

Modern Python library for downloading and analyzing Chilean CASEN survey data

rbstata

CLI utility to roll back Stata data version.

usebcrp

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