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geospatial-nix
Discontinued Geospatial packages repository and environment. Check out https://geospatial-nix.today/ .
geospatial-nix author here. Thanks for interest.
geospatial-nix.today is the UI for creation of development and working environments using Nix. It provides easy instructions to get Nix running on your Linux machine, UI to declaratively configure your environment and tools for building container images.
We are focusing on geospatial use cases, but this tool is not limited to geospatial only. We support all configuration options provided by Devenv (https://devenv.sh/reference/options/). Actually, geospatial-nix.today website, written in Elm, is developed and deployed by the environment created by geospatial-nix (https://github.com/imincik/geospatial-nix.today/blob/master/...)
geospatial-nix (https://github.com/imincik/geospatial-nix) itself is weekly updated geospatial software repository for Linux.
As you can read in the FUTURE PLANS section, we are in very early stage of development. Please take this to account. Features like support for many more services, Mac support, production deployment to Kubernetes will land soon.
Any feedback is very much appreciated.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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https://libgeos.org/
GEOS is a C/C++ library for computational geometry with a focus on algorithms used in geographic information systems (GIS) software. It implements the OGC Simple Features geometry model and provides all the spatial functions in that standard as well as many others. GEOS is a core dependency of PostGIS, QGIS, GDAL, Shapely and many others.
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https://grass.osgeo.org/
GRASS GIS offers powerful raster, vector, and geospatial processing engines in a single integrated software suite. It includes tools for terrain and ecosystem modeling, hydrology, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It comes with a temporal framework for advanced time series processing and a Python API for rapid geospatial programming. GRASS GIS has been optimized for performance and large geospatial data analysis.
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geospatial-nix author here. Thanks for interest.
geospatial-nix.today is the UI for creation of development and working environments using Nix. It provides easy instructions to get Nix running on your Linux machine, UI to declaratively configure your environment and tools for building container images.
We are focusing on geospatial use cases, but this tool is not limited to geospatial only. We support all configuration options provided by Devenv (https://devenv.sh/reference/options/). Actually, geospatial-nix.today website, written in Elm, is developed and deployed by the environment created by geospatial-nix (https://github.com/imincik/geospatial-nix.today/blob/master/...)
geospatial-nix (https://github.com/imincik/geospatial-nix) itself is weekly updated geospatial software repository for Linux.
As you can read in the FUTURE PLANS section, we are in very early stage of development. Please take this to account. Features like support for many more services, Mac support, production deployment to Kubernetes will land soon.
Any feedback is very much appreciated.
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This is awesome. Such a great use case for nix.
I do a lot of geospatial processing in the cloud and I've been using Tippecanoe a lot to create vector tiles. It pairs well with PM Tiles for storing on the cloud. It seriously increases the web app performance for massive data sets. I queue these up with ECS tasks to process our json/csv/parquet input and create optimize vector tile outputs.
https://github.com/felt/tippecanoe
https://github.com/protomaps/PMTiles
Tippecanoe would be a great addition to your nix packages. I've been thinking more and more about how Nix could fit into this pipeline.
Great work!
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This is awesome. Such a great use case for nix.
I do a lot of geospatial processing in the cloud and I've been using Tippecanoe a lot to create vector tiles. It pairs well with PM Tiles for storing on the cloud. It seriously increases the web app performance for massive data sets. I queue these up with ECS tasks to process our json/csv/parquet input and create optimize vector tile outputs.
https://github.com/felt/tippecanoe
https://github.com/protomaps/PMTiles
Tippecanoe would be a great addition to your nix packages. I've been thinking more and more about how Nix could fit into this pipeline.
Great work!