go-staticmaps VS gismanager

Compare go-staticmaps vs gismanager 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)

gismanager

Publish Your GIS Data(Vector Data) to PostGIS and Geoserver (by hishamkaram)
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go-staticmaps gismanager
0 0
332 50
- -
0.0 0.0
about 2 months ago over 5 years 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.

gismanager

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

We haven't tracked posts mentioning gismanager yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

simplefeatures - Simple Features is a pure Go Implementation of the OpenGIS Simple Feature Access Specification

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

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

pbf - OpenStreetMap PBF golang parser

S2 geometry - S2 geometry library in Go

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

mbtileserver - Basic Go server for mbtiles

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