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Open Source Software

Python and Stata packages for economic data access and reproducible research

I build and maintain open-source tools that democratize access to economic data across Latin America. These packages are designed for researchers, analysts, and policymakers working on development economics, social policy evaluation, and quantitative research.


Python Packages for Latin American Data

enahodata — Peru Household Survey Access

PyPI version Downloads License GitHub stars

GitHub · PyPI

Python package for simplified access to Peru’s National Household Survey (ENAHO) microdata. Download, process, and analyze data on poverty, employment, education, health, and household characteristics using pandas-compatible functions.


usebcrp — Central Reserve Bank of Peru API

PyPI version Downloads License GitHub stars

GitHub · PyPI

Python client for the Central Reserve Bank of Peru (BCRP) statistical API. Programmatic access to macroeconomic indicators, monetary policy data, and national accounts with pandas integration.


usecasen — Chile Socioeconomic Survey Tools

PyPI version Downloads License GitHub stars

GitHub · PyPI

Python tools for working with Chile’s National Socioeconomic Characterization Survey (CASEN). Facilitates multidimensional poverty analysis and social policy evaluation.


usebcch — Central Bank of Chile Database Client

PyPI version Downloads License GitHub stars

GitHub · PyPI

Python client for the Central Bank of Chile’s statistical database. Retrieve time series data on inflation, GDP, exchange rates, financial indicators, and external sector statistics.


Stata Packages

enahotools — ENAHO Data Processing for Stata

GitHub stars License

GitHub

Stata package for processing and analyzing Peru’s National Household Survey (ENAHO). Automated data cleaning, variable labeling, and survey-weighted estimation commands.


Impact & Philosophy

These packages are part of my commitment to open science and data democratization. By lowering barriers to access public data, I aim to enable more rigorous research and evidence-based policymaking across Latin America.

All tools are open-source (MIT License), actively maintained, and built with reproducibility in mind.

Source Code
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```

I build and maintain open-source tools that democratize access to economic data across Latin America. These packages are designed for researchers, analysts, and policymakers working on development economics, social policy evaluation, and quantitative research.

---

## Python Packages for Latin American Data

**enahodata** — Peru Household Survey Access

[![PyPI version](https://img.shields.io/pypi/v/enahodata.svg)](https://pypi.org/project/enahodata)
[![Downloads](https://img.shields.io/pypi/dm/enahodata.svg)](https://pypi.org/project/enahodata)
[![License](https://img.shields.io/pypi/l/enahodata.svg)](https://github.com/MaykolMedrano/enahodata/blob/main/LICENSE)
[![GitHub stars](https://img.shields.io/github/stars/MaykolMedrano/enahodata.svg)](https://github.com/MaykolMedrano/enahodata)

[GitHub](https://github.com/MaykolMedrano/enahodata) · [PyPI](https://pypi.org/project/enahodata)

Python package for simplified access to Peru's National Household Survey (ENAHO) microdata. Download, process, and analyze data on poverty, employment, education, health, and household characteristics using pandas-compatible functions.

---

**usebcrp** — Central Reserve Bank of Peru API

[![PyPI version](https://img.shields.io/pypi/v/usebcrp.svg)](https://pypi.org/project/usebcrp)
[![Downloads](https://img.shields.io/pypi/dm/usebcrp.svg)](https://pypi.org/project/usebcrp)
[![License](https://img.shields.io/pypi/l/usebcrp.svg)](https://github.com/MaykolMedrano/usebcrp/blob/main/LICENSE)
[![GitHub stars](https://img.shields.io/github/stars/MaykolMedrano/usebcrp.svg)](https://github.com/MaykolMedrano/usebcrp)

[GitHub](https://github.com/MaykolMedrano/usebcrp) · [PyPI](https://pypi.org/project/usebcrp)

Python client for the Central Reserve Bank of Peru (BCRP) statistical API. Programmatic access to macroeconomic indicators, monetary policy data, and national accounts with pandas integration.

---

**usecasen** — Chile Socioeconomic Survey Tools

[![PyPI version](https://img.shields.io/pypi/v/usecasen.svg)](https://pypi.org/project/usecasen)
[![Downloads](https://img.shields.io/pypi/dm/usecasen.svg)](https://pypi.org/project/usecasen)
[![License](https://img.shields.io/pypi/l/usecasen.svg)](https://github.com/MaykolMedrano/usecasen/blob/main/LICENSE)
[![GitHub stars](https://img.shields.io/github/stars/MaykolMedrano/usecasen.svg)](https://github.com/MaykolMedrano/usecasen)

[GitHub](https://github.com/MaykolMedrano/usecasen) · [PyPI](https://pypi.org/project/usecasen)

Python tools for working with Chile's National Socioeconomic Characterization Survey (CASEN). Facilitates multidimensional poverty analysis and social policy evaluation.

---

**usebcch** — Central Bank of Chile Database Client

[![PyPI version](https://img.shields.io/pypi/v/usebcch.svg)](https://pypi.org/project/usebcch)
[![Downloads](https://img.shields.io/pypi/dm/usebcch.svg)](https://pypi.org/project/usebcch)
[![License](https://img.shields.io/pypi/l/usebcch.svg)](https://github.com/MaykolMedrano/usebcch/blob/main/LICENSE)
[![GitHub stars](https://img.shields.io/github/stars/MaykolMedrano/usebcch.svg)](https://github.com/MaykolMedrano/usebcch)

[GitHub](https://github.com/MaykolMedrano/usebcch) · [PyPI](https://pypi.org/project/usebcch)

Python client for the Central Bank of Chile's statistical database. Retrieve time series data on inflation, GDP, exchange rates, financial indicators, and external sector statistics.

---

## Stata Packages

**enahotools** — ENAHO Data Processing for Stata

[![GitHub stars](https://img.shields.io/github/stars/MaykolMedrano/enahotools.svg)](https://github.com/MaykolMedrano/enahotools)
[![License](https://img.shields.io/github/license/MaykolMedrano/enahotools.svg)](https://github.com/MaykolMedrano/enahotools/blob/main/LICENSE)

[GitHub](https://github.com/MaykolMedrano/enahotools)

Stata package for processing and analyzing Peru's National Household Survey (ENAHO). Automated data cleaning, variable labeling, and survey-weighted estimation commands.

---

## Impact & Philosophy

These packages are part of my commitment to **open science** and **data democratization**. By lowering barriers to access public data, I aim to enable more rigorous research and evidence-based policymaking across Latin America.

All tools are open-source (MIT License), actively maintained, and built with reproducibility in mind.

© 2026 Maykol Medrano. Licensed under CC-BY-NC 4.0.

 
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