minicoro VS maplibre-gl-js

It would be interesting to bench something extremely lightweight (like https://github.com/edubart/minicoro) against these runtimes.

By my back-of-the-napkin math, 1,000,000 coroutines would cost about 64mb + 2mb/core for stacks.. which works out to about 4x less memory than the 'winner' of this comparison, and ~30x less than go.

A single header asymmetric stackful cross-platform coroutine library in pure C.

https://github.com/edubart/minicoro

(.shp .gpkg ...) | ogr2ogr -> .geojson | tippecanoe -> .pmtiles

for OpenStreetMap data there's planetiler[4], and and openmaptiles[5] styles that work with Maplibre

with those combinations you've got a great start to something you can host for pennies on AWS S3+CloudFront or Cloudflare R2, with an open source data pipeline

[1] https://maplibre.org/

MapLibre GL JS v3.3.1

Does anyone else have a solution for the satellite layer? I was using MapLibre [0] then needed direct-on-the-ground images which made me convert to Google Maps.

[0] https://maplibre.org/

When using the Amazon Location Service, I recommend MapLibre GL JS, which I introduced in my previous article, "Amazon Location Service and AWS Amplify to Use Various Map Library," but you can also use any map library you like, including iTowns this time. I hope you will choose the map library of your choice, including iTowns!

Your browser has a very powerful image decoder built into it, offloading the PNG decoding into Javascript is very resource hungry.

Using maplibre (or any map viewer) you can load blobs of image data out of a tiff and use `Image` or `Canvas` to render the data onto a map.

Its even easier if the tiffs are already Cloud optimized as they perfectly align to a 1-to-1 map tile and they don't need to be rescaled, you can then just render the images onto the map. eg here is a viewer that loads webps out of a 15GB tiff and uses Canvas to render them onto a map [1]

Unless you are trying to layer all your maps together, you also could stop reprojecting them into webmercator, or if your goal is to layer them, then storing them in webmercator would save a ton of user's compute time.

There are a bunch of us that talk web maping and imagery in the #maplibre and #imagery slack channels in OSMUS's slack [2]

[1] https://blayne.chard.com/cogeotiff-web/index.html?view=cog&i...

[2] https://github.com/maplibre/maplibre-gl-js#getting-involved

The map is rendered by https://maplibre.org/, you can see how it is used here https://github.com/anvaka/map-of-github

Kudos to https://maplibre.org/ - amazing library