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lutraconsulting / qgis-xyz-tiles

A processing algorithm to generate xyz tiles from map/layer extent.
GNU General Public License v2.0
20 stars 12 forks source link

Please add a license #31

Closed asfixia closed 4 years ago

asfixia commented 4 years ago

What is this project license?

saberraz commented 4 years ago

Added.

asfixia commented 4 years ago

saberraz thanks for the fast answer.

Just one more question, any reason to use GPL instead of MIT?

I am worried about the contamination of GPL if at some point someone uses a GPL license it contaminate all the others projects with it. About my usage; I am planning to create a QGIS plugin that allows users to publish their maps online for free using free services. It is in beta development yet, but if you want to take a look https://csrmaps.github.io/.

The plugin i am planning to publish under MIT instead of GPL.

saberraz commented 4 years ago

https://github.com/lutraconsulting/qgis-xyz-tiles/blob/master/tiles_xyz/tiles_xyz.py#L37

The algorithm uses QGIS which is GPL, hence we have to use GPL too. This plugin is no longer maintained and incorporated within the QGIS source code.

asfixia commented 4 years ago

Ok, you are right! Thanks!

saberraz commented 4 years ago

See also QGIS2Web plugin: https://github.com/tomchadwin/qgis2web

asfixia commented 4 years ago

Looks promising, you got the point right, it is very close to what i want. I will investigate a little deeper to see if there is something usefull in it too. Thanks again! Right before the platform launch, i want you to be one of the first to test and give me your opinion, if you interested.

saberraz commented 4 years ago

That looks very interesting. We have a similar platform (not free): https://cloudmappin.com/

asfixia commented 4 years ago

Really interesting it seems to be very user friendly and customizable. And to be honest, the platform idea is really very similar to yours, even the name (mappia). The biggest difference is that for us every data is treated only as pixels, while for you the data are geographic objects.