mbtiles-spec
zarr-python
mbtiles-spec | zarr-python | |
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4 | 2 | |
587 | 1,346 | |
0.9% | 2.2% | |
0.0 | 9.1 | |
over 4 years ago | 7 days ago | |
Python | ||
GNU General Public License v3.0 or later | MIT License |
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mbtiles-spec
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Beginner Questions about MapBox GL JS
This is definitely possible. A very common use case is publishing custom vector tiles to Mapbox, but since you want to host the tileset itself on your own server, you can use something like tilelive to do so. It's easy to create your own custom .mbtiles with Mapbox Studio, but it's an open specification, so feel free to create your own from arbitrary geographic data.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
Prepare "MBTiles" to store map tiles built-in SQLite for conversion of COMTiles.
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SQLite 3.39.2
> I once experimented with using SQLite as a file store for small images
Mapbox productionized this with their MBTiles [0] format, to store millions of small vector or raster map tiles in an SQLite database. Much easier to work with than millions of images on disk.
[0]: https://github.com/mapbox/mbtiles-spec
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Serving open street map vector tiles with elixir and phoenix
Some background on mbtiles files from mapbox/mbtiles-spec
zarr-python
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
Zarr
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Not so underrated but not so commonplace either: Zarr
What are some alternatives?
geoparquet - Specification for storing geospatial vector data (point, line, polygon) in Parquet
Flask - The Python micro framework for building web applications.
Leaflet.VectorGrid - Display gridded vector data (sliced GeoJSON or protobuf vector tiles) in Leaflet 1.0.0
better-exceptions - Pretty and useful exceptions in Python, automatically.
mbutil - Importer and Exporter of MBTiles
ome-zarr-py - Implementation of next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.
flatgeobuf - A performant binary encoding for geographic data based on flatbuffers
com-tiles - Streamable and read optimized file archive for hosting map tiles at global scale on a cloud object storage
PMTiles - Cloud-optimized + compressed single-file tile archives for vector and raster maps
Sentry - Developer-first error tracking and performance monitoring
tilelive - fast interface to tiles with pluggable backends - NOT ACTIVELY MAINTAINED