go-staticmaps VS simplefeatures

Compare go-staticmaps vs simplefeatures and see what are their differences.

go-staticmaps

A go (golang) library and command line tool to render static map images using OpenStreetMap tiles. (by flopp)

simplefeatures

Simple Features is a pure Go Implementation of the OpenGIS Simple Feature Access Specification (by peterstace)
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go-staticmaps simplefeatures
- 1
337 119
- -
7.0 8.7
21 days ago 4 days ago
Go Go
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

go-staticmaps

Posts with mentions or reviews of go-staticmaps. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-staticmaps yet.
Tracking mentions began in Dec 2020.

simplefeatures

Posts with mentions or reviews of simplefeatures. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.

What are some alternatives?

When comparing go-staticmaps and simplefeatures you can also consider the following projects:

godal - golang wrapper for github.com/OSGEO/gdal

S2 geometry - S2 geometry library in Go

gismanager - Publish Your GIS Data(Vector Data) to PostGIS and Geoserver

pbf - OpenStreetMap PBF golang parser

osm - General purpose library for reading, writing and working with OpenStreetMap data

mbtileserver - Basic Go server for mbtiles

web-mercator-projection - A Go project to explore the math to calculate and present data in a map using the `Web Mercator Projection`

S2 geojson - Draw a polygon on the map or paste a geoJSON and explore how the s2.RegionCoverer covers it with S2 cells depending on the min and max levels

geoserver - geoserver is a Go library for manipulating a GeoServer instance via the GeoServer REST API.