t-rex
Tile server
A vector tile server specialized on publishing MVT tiles from own data
t-rex is a vector tile server specialized on publishing MVT tiles from your own data
556 stars
26 watching
69 forks
Language: Rust
last commit: about 2 months ago
Linked from 3 awesome lists
databasemapbox-gl-jsopenlayerstile-cachevector-tiles
Related projects:
Repository | Description | Stars |
---|---|---|
developmentseed/timvt | A PostGIS-based Vector Tile service built with FastAPI and async/await APIs. | 187 |
mkeller3/fastvector | A PostGIS-based Vector Tile server with caching and filtering | 50 |
henrythasler/cloud-tileserver | A system that generates and serves map data tiles over the web | 62 |
corteva/djangorestframework-mvt | A Django extension that enables serving Mapbox Vector Tiles from Postgres | 50 |
naturalatlas/tilestrata | A modular map tile server with pluggable components for generating, caching, and transforming tiles | 428 |
cutting-room-floor/tilestream | A high-performance map tile server using MBTiles files | 744 |
urbica/tessella | A lightweight Node.js server for serving Mapbox Vector Tiles | 85 |
stationa/tilenol | A scalable web server for serving geospatial data from multiple backends as Mapbox Vector Tiles | 22 |
crunchydata/pg_tileserv | A PostGIS-only tile server in Go that executes SQL queries and returns MVT tiles based on HTTP requests. | 872 |
consbio/mbtileserver | A Go-based server for serving map tiles stored in the mbtiles format. | 657 |
dechristopher/tegola-omt | A configuration guide for setting up an OpenStreetMap vector tile server using Tegola and PostgreSQL | 37 |
kanahiro/chiitiler | A lightweight tile server that generates raster tiles based on style.json files | 54 |
dhi/terracotta | A light-weight tile server built on Python and Rasterio, serving cloud-optimized GeoTiffs in different projections. | 692 |
faradayio/tilesplash | A Node.js webserver for serving vector tiles from a PostGIS backend. | 179 |
planet-vector-tile/planet-vector-tile | A software framework for rendering and navigating planet-scale spatial data on local machines | 22 |