Bharatlas

ci license: MIT v1.0 uptime Lighthouse: 98+ npm

A visual catalog, REST API, MCP server, drag-drop verifier, and anonymous contribution flow for India's geo data. Admin boundaries from state to village, plus community-submitted layers under open licences.

Live: https://bharatlas.com

bharatlas — India's open atlas

• Catalog: India national boundary (LGD-dissolved), plus state · district · subdistrict · block · village (LGD), cross-source alternates (SOI · Bhuvan · geoBoundaries · PMGSY per level, click "also: ..." on any card), city wards across Indian cities, electoral constituencies, wildlife, eco-zones, and 63k pincode polygons (bharatviz).
• Download: whole layer as Parquet · PMTiles · GeoJSON · KML · Shapefile, direct from the card.
• Filter & slice: dynamic facets / range / typeahead search per layer schema; export the slice in any format above.
• Preview: drop GeoJSON · KML · KMZ · GPX · TCX · Parquet, render + validate, optional Publish.
• View (/view/<id>): curated layer with per-layer OG card.
• Community view (/c/<id>): community submission, edge-rendered HTML, 👍 useful vote, per-submission OG card.
• Embed (/embed/<id>): iframe + PNG export from any map.
• API (/api/v1): REST list, query, filter, group_by any layer; locate (point-in-polygon across all layers); nearby (tile-based spatial proximity).
• MCP (npx bharatlas-mcp): 8 tools for LLMs: list, schema, query, locate, nearby, categories, submissions, downloads.

What's in this repo

• web/: Vanilla TypeScript + Vite viewer + Cloudflare Pages Functions (web/functions/).
• web/migrations/: D1 SQL migrations: submissions, tokens, ratings, votes, originals.
• web/tests/: vitest unit tests for pure functions (validators, tokens, view rendering, votes).
• scripts/fetch.sh: Pulls parquets + PMTiles from yashveeeeeeer/india-geodata releases.
• scripts/extract_per_state.py: Slices pan-India parquets into per-state GeoJSON via DuckDB-spatial.
• scripts/bake_whole_layer.py: Bakes whole-layer GeoJSON / KML / Shapefile per curated layer (parquet ≤ 100 MB).
• scripts/upload_r2.sh: Mirrors sources/ + data/ to Cloudflare R2 via wrangler.
• scripts/upload_baked.py: Pushes data/baked/* to R2 via boto3 (S3-compat fallback when wrangler is unavailable).
• scripts/admin/cleanup_submission.sh: Delete community submissions by name pattern (R2 + D1).
• mcp/: MCP server for LLMs (npm). 8 tools: list, schema, query, locate, nearby, categories, submissions, downloads.
• catalog.json: Curated-layer index used by the viewer. Single source of truth.
• /about#caveats: Data caveats (cross-source drift, coverage gaps, precision).

Large data files (sources/, data/) are not in git — they live in R2. See scripts/fetch.sh to rebuild locally.

Stack

• Frontend: Vanilla TypeScript, Vite, MapLibre GL JS, PMTiles, DuckDB-WASM (lazy)
• Static hosting: Cloudflare Pages
• Edge functions: Cloudflare Pages Functions (web/functions/), running REST API v1, submit, vote, sitemap, edge-rendered /c/<id>
• Parquet query: hyparquet (pure JS, runtime reads from R2)
• Spatial query: PMTiles tile reads + MVT decode + ray-casting PIP / Haversine proximity
• MCP server: bharatlas-mcp, 8 tools for Claude, GPT, Gemini, Cursor, etc.
• Storage: Cloudflare R2 (open data, no egress)
• Submissions DB: Cloudflare D1 (SQLite at the edge)
• Anti-abuse: Cloudflare Turnstile + per-IP rate limits
• CI/CD: GitHub Actions, running tests + build + auto-deploy on push to main

Develop

# clone + viewer-only dev (no submissions, no D1)
git clone [email protected]:urbanmorph/geodata.git
cd geodata/web
npm install
npm run dev    # http://localhost:5173
npm test

For the full submission flow (D1 + R2 + Turnstile + Pages Functions), read wrangler.toml + .dev.vars.example.

API in 30 seconds

REST: https://bharatlas.com/api/v1 — no API key, rate-limited per IP. Full docs at bharatlas.com/docs.

# list every catalog layer (curated + accepted community)
curl 'https://bharatlas.com/api/v1/layers'

# inspect a layer's schema before querying
curl 'https://bharatlas.com/api/v1/layers/lgd_districts/schema'

# filter + group: how many districts per state?
curl 'https://bharatlas.com/api/v1/layers/lgd_districts/query?group_by=stname'

# point-in-polygon: every admin boundary at (lat, lng)
curl 'https://bharatlas.com/api/v1/locate?lat=12.9716&lng=77.5946'

# nearest features within a radius
curl 'https://bharatlas.com/api/v1/nearby?lat=12.9716&lng=77.5946&layer=nic_health&radius_km=10'

MCP for LLMs (Claude, GPT, Gemini, Cursor): one-line install, 8 tools. Setup at bharatlas.com/mcp.

# Claude Code
claude mcp add bharatlas npx bharatlas-mcp

# Claude Desktop / other clients (claude_desktop_config.json)
{ "mcpServers": { "bharatlas": { "command": "npx", "args": ["bharatlas-mcp"] } } }

Contributing

1. Branch off main: git checkout -b feat/short-name
2. Write a test first if you're adding logic to web/functions/lib/*. Pure functions are tested via vitest in web/tests/.
3. Make sure npm test and npm run build both pass.
4. Open a PR against main. CI runs tests + build automatically.
5. The maintainer reviews and merges. Merge to main = auto-deploy.

Commit messages: short subject, body explains why not what. Examples in git log.

Security

Report vulnerabilities to [email protected] instead of opening a public issue. Acknowledgement within 72 hours.

Licence

Code: MIT. Data: each layer carries its own open licence — see the per-card line on the catalog. Curated data is sourced under CC0-1.0 / CC-BY-4.0 / GODL-India depending on provider.

Use of data

Provided as-is, no warranty. For legal/administrative use, go to the upstream source. Full disclaimers: /about → Use of data.

Principles

bharatlas is built on People's Digital Goods and Infrastructure (PDGI) principles. PDGI.md is a public, honest scorecard of how each one is implemented, and where we still fall short.

Credits

Data sources, in approximate order of catalog footprint:

• LGD — Local Government Directory; the authoritative admin code chain (state → village).
• SOI — Survey of India; admin alternatives.
• Bhuvan — NRSC/ISRO Bhuvan; admin alternatives, eco-sensitive zones.
• OpenCity / Oorvani Foundation — city-scale layers (ward / corporation / jurisdiction polygons for 20+ cities).
• DataMeet — community-curated municipal spatial data (ward boundaries for multiple cities).
• datta07/INDIAN-SHAPEFILES — metropolitan city ward shapefiles.
• ramSeraph/indianopenmaps — selectively republished layers (WRIS waterbodies, SLUSI watersheds + soil, VEDAS power infrastructure, PMGSY roads + habitations).
• CoRE Stack: republished water and agriculture layers, namely CGWB aquifers and groundwater extraction, WRIS canals, ICAR-NBSS agro-ecological zones, Planning Commission agro-climatic zones, and Wildlife Institute of India biogeographic zones.
• PMGSY — Pradhan Mantri Gram Sadak Yojana; rural blocks + roads.
• PM GatiShakti — wildlife sanctuaries + national parks.
• Bharatmaps (NIC) — eco-sensitive zones.
• bharatviz (Saket Choudhary, MIT) — India Post pincode boundary polygons (simplified).
• geoBoundaries — independent cross-check.
• data.gov.in — additional government open data.

Pipelines + patterns:

• yashveeeeeeer/india-geodata — upstream Parquet + PMTiles re-publisher for LGD, SOI, Bhuvan, PMGSY, GatiShakti, Bharatmaps, CWC, NIC-Health and the India Flood Inventory.
• ramSeraph — architectural guidance on geoparquet for spatial queries (issue #100). Hilbert sort + flat bbox cols + density-aware row groups in our /api/v1/nearby came directly from this review.
• mdshare — the anonymous-token contribution pattern lineage.

Built by Urban Morph · Sathya Sankaran. Drop a ⭐ if you find it useful.

Status: v1.0. Curated layers, community submissions, REST API, MCP server ( npm), dynamic filters with typeahead, whole-layer downloads in 5 formats. API docs at /docs, MCP setup at /mcp. Community submissions are permanent under the open licence the contributor selected.