OpenStacks for Change

Open-source tools for development research, evaluation, and program design. Built in India, shared for impact.

9Repositories
8Active Stacks
6+Languages
MITLicensed

Why This Exists

Across public health, climate adaptation, education, and gender equity, development organisations face the same problem: they repeatedly build the same tools from scratch.

Survey analysis scripts. MEL frameworks. Policy trackers. Data cleaning pipelines. Each organisation creates its own, often in isolation, often losing the work when projects end.

OpenStacks for Change is a response to that waste. It's an ecosystem of open, modular toolkits — each focused on a specific capability — that development practitioners can pick up, adapt, and build on.

Ecosystem Architecture
openstacks.dev

├── InsightStack ··· MEL tools & calculators
├── FieldStack ····· R notebooks for fieldwork
├── EquityStack ···· Python data workflows
├── SignalStack ···· Research newsletter

├── RootStack ······ Database layer
├── BridgeStack ··· API backend
├── ViewStack ······ Frontend UI
└── PolicyStack ··· Policy tracker

How to Use

Each stack is self-contained. Pick the one that fits your language and domain, clone it, and start working.

Find Your Stack

R? FieldStack. Python? EquityStack. Stata? InsightStack. Browse by language or domain.

Clone and Explore

Every repo includes sample data, documentation, and working scripts you can run immediately.

Adapt to Your Context

Modify templates for your own data, programmes, and reporting needs.

Contribute Back

Found a bug? Built an extension? Share it with the community via a pull request.

The Stacks

Real tools you can use today, and foundations being built for tomorrow.

All Stacks — real tools with code and data

InsightStack

Active

The backbone of the ecosystem. MEL tools, calculators, and a full econometrics module (DiD, PSM, IV/2SLS, RDD, sensitivity analysis) in Python and R. Plus Observable notebooks, Excalidraw diagrams, and Flourish charts.

Stata Python R Observable

FieldStack

Active

Reusable R notebooks and scripts for applied fieldwork: survey design, sample size calculation, sampling weights, complex survey analysis, cost-effectiveness, qualitative coding, and automated Quarto reporting.

R Quarto KoboToolbox ODK

EquityStack

Active

Python and Jupyter notebooks for development data workflows. Includes impact evaluation (DiD, PSM, RDD), a reproducible data cleaning pipeline with logging, and visualisation tools across health, gender, education, and climate equity.

Python Jupyter Pandas

SignalStack

Active

Companion repository for the Research Rundown newsletter. Archived issues, featured tools, method spotlights, and curated resources for development practitioners.

Markdown Substack

RootStack

Active

Foundational database schemas, seed data, and queries for the ecosystem's data layer. The shared backbone that other stacks connect to. PostgreSQL and SQLite.

SQL PostgreSQL

BridgeStack

Active

FastAPI backend that bridges RootStack data to frontend applications via REST API. The plumbing that connects data to dashboards and tools.

Python FastAPI

ViewStack

Active

React frontend for visualising OpenStacks data. State and scheme dashboards, indicator explorer with interactive charts, and budget trend analysis.

React Recharts Vite

PolicyStack

Active

South Asia policy tracker — 15 flagship government schemes with 4 years of budget data, performance indicators, and analysis scripts. Turning policy documents into queryable data.

Python CSV Pandas
On the Roadmap

ClimateStack

Composite risk scores, resilience modelling, geo-spatial mapping

EduStack

Learning assessment pipelines, education outcome dashboards

SocialStack

Rapid ethnography, qualitative coding, NLP for field narratives

InfraStack

Access scoring, infrastructure mapping, spatial planning tools

Who This Is For

Development practitioners working across health, education, gender equity, climate, and governance — primarily in India and South Asia.

Development Practitioners

Ready-to-use analysis tools for MEL, impact assessment, and program design across health, education, gender, and climate.

Researchers and Evaluators

Reproducible scripts, sample data, and evaluation frameworks grounded in real South Asian fieldwork.

Data Analysts in NGOs

Python, R, and Stata templates that work with the data formats and analysis patterns you actually use.

Students and Educators

Practice datasets, guided notebooks, and real-world examples for development economics and public policy courses.

Dr. Varna Sri Raman

Dr. Varna Sri Raman

Development economist, social researcher, and licensed social justice worker with 20+ years of experience across public health, education, gender equity, and climate resilience in India and South Asia.

Has led programme design, MEL strategies, and research with Oxfam, UNICEF, Gates Foundation, PLAN India, and BBC Media Action. Founder of StoryWell Books.

If OpenStacks is useful to your work, consider supporting the project.

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