Open-source toolkit ecosystem for development research, evaluation, and program design. Built in India, shared for impact.
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Updated
Mar 16, 2026 - HTML
Open-source toolkit ecosystem for development research, evaluation, and program design. Built in India, shared for impact.
Comparative analysis of COVID-19 impacts in South Asia and the Middle East, featuring automated data updates and interactive visualizations.
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Python scripts and Jupyter notebooks for development sector data workflows. Part of OpenStacks for Change.
A curated open-access library of 500+ research papers, books, and grey literature for development practitioners in South Asia
Reusable R notebooks, scripts, and tools for applied data work and evaluation. Part of OpenStacks for Change.
[Early-stage] Frontend UI for OpenStacks data visualization
SQLite schemas, seed data & queries for Indian development indicators, government schemes, and OpenStacks tools — Part of OpenStacks
[Early-stage] South Asia policy tracker — Part of OpenStacks
Free development education platform for South Asia — 48 courses, 16 games, 11 labs, 400+ handouts, 200 case studies, MCP server
[Early-stage] API backend bridging OpenStacks data layers
MEL tools, calculators, and research documentation for development work. Part of OpenStacks for Change.
Indian Development Policy Tracker — auto-updating tracker of government policies across development sectors. A complement to impactmojo.in
Determining the most important predictors of diarrhoea in children under five in South and Southeast Asia by exploring the spatiotemporal association between diarrhoeal incidence and various behavioural, socio-demographic, and environmental factors.
AI-powered financial stability predictor for informal workers in South Asia | SDG 1 · 8 · 10 · 16 | ML · Streamlit · Python
Open-source cultural memory engine for South Asian AI — preserving dialects, emotion, and soul.
Interactive analysis of World Bank's PPG Bilateral Debt data between India and South Asian countries. Features a Streamlit web app with real-time visualizations, comparative analysis, and custom reporting for debt trends from 1972-2020.
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