# felt/tippecanoe

Build vector tilesets from large collections of GeoJSON features.

Repository: https://github.com/felt/tippecanoe
Canonical: https://ross.abutalabs.com/products/felt-tippecanoe
Language: C++
License: BSD-2-Clause
License Family: permissive
Last push: 2026-08-14T04:27:09+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 40, longevity 100
- inputs: {"age_days": 1479, "days_push": 19, "days_rel": 405, "gap_med": 5, "n_releases_24m": 24}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1588, forks 135 (observed 2026-08-28T04:05:07.818373+00:00)

## What it is
Tippecanoe is a C++ command-line tool that builds vector tilesets (MBTiles) from large collections of GeoJSON, FlatGeobuf, or CSV features. It produces scale-independent views of geographic data so density and texture remain visible at every zoom level.

## Use cases
- convert large geojson files into vector tilesets
- generate mbtiles from csv point data
- create zoomable map tiles for millions of building footprints
- prepare vector tiles for maplibre or mapbox gl rendering
- build scale-independent tilesets from openstreetmap data

## When to choose
- you need to serve large geospatial datasets as vector tiles at any zoom level
- you want to preserve data density rather than simplify or aggregate features
- you work with GeoJSON, FlatGeobuf, or CSV geographic data in a Unix pipeline

## When to avoid
- you need a hosted or API-driven tiling service without managing tooling yourself
- you only need small static map images or raster tiles
- you require a GUI-based GIS workflow

## Facets
- artifact type: cli-tool
- maturity: active
- function: geospatial, cli, data-visualization
- domain: developer-tools
- platform: cli, cpp
- tags: vector-tiles, mbtiles, geojson, mapbox-vector-tiles, flatgeobuf, gis, maps, geospatial, macos, linux

## Member repositories
- felt/tippecanoe (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:07.818373+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:55:00.846107+00:00, confidence not recorded.
  - readme: https://github.com/felt/tippecanoe (fetched 2026-08-28T04:05:07.818373+00:00, sha c6decae159db)
- Data as of 2026-08-30T08:39:29.467469+00:00.