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Download India's open GIS data — district boundaries, electoral maps, census geometries, forest cover, nightlights, shapefiles, GeoJSON, Parquet. Free and openly licensed.

40
5
100% credibility
Found Mar 09, 2026 at 32 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A unified collection of openly licensed geospatial datasets for India, aggregating administrative boundaries, electoral areas, census data, environmental layers, infrastructure, and urban maps from government and community sources.

How It Works

1
🌍 Discover India's map library

You find a free treasure chest of maps and location details covering every state, district, village, road, and forest in India.

2
📂 Browse easy categories

Look through friendly folders like boundaries, elections, cities, nature areas, and roads to spot what you need for your project.

3
Pick your download style
🐣
Quick small files

Snag lightweight maps right from the page for instant use.

🐘
Full big collections

Get huge datasets with a one-click helper tool that organizes everything neatly.

4
💾 Your maps are ready

Watch as your chosen files land safely on your computer in easy-to-open formats like maps or tables.

5
🗺️ Explore and play

Open the files in a map app or spreadsheet to zoom around India, overlay layers, and spot interesting patterns.

🎉 Unlock your insights

Celebrate as you uncover stories about populations, elections, environments, or routes that power your research or plans.

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Star Growth

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AI-Generated Review

What is india-geodata?

India-geodata aggregates India's open GIS datasets into one spot—district boundaries, census geometries, electoral maps, forest cover, nightlights, and more from gov sources like Survey of India and Census. Pull shapefiles, GeoJSON, Parquet, or PMTiles for analysis or mapping via GitHub releases or a Python helper script. It solves the pain of scraping scattered portals like geodata india gov in by offering validated, licensed data ready for QGIS, DuckDB, or web tiles.

Why is it gaining traction?

Unlike fragmented DataMeet repos or raw gov downloads, it unifies sources with machine-readable metadata, multiple formats per dataset (Parquet for pandas, PMTiles for browsers), and easy grabs like `gh release download admin/districts` after installing download github cli. The catalog site lets you preview before downloading github repo subsets or the full repository as zip. Developers dig the no-fuss scripting for bulk pulls on mac or windows via download github desktop.

Who should use this?

Data scientists modeling district-level census trends or nightlights for economic proxies. Urban planners needing municipal wards, slums, or rural roads data. Election analysts mapping assembly constituencies against boundaries or cover data. Researchers at geodatatek india pvt ltd or similar eyeing india geodata reviews for reliable baselines.

Verdict

Solid for India-specific geospatial work despite 19 stars and 1.0% credibility score—docs are thorough, metadata validated, but it's early with room for more contributors. Grab it if you need this data; skip for global alternatives.

(198 words)

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