[GRASS-user] Install GRASS stable and experimental in parallel

Stefan Blumentrath Stefan.Blumentrath at nina.no
Tue Mar 13 01:30:37 PDT 2018


Hi Moritz,

(warming this post up again ...).

I see your point!
And I am aware, that dependencies might be changed in development versions. QGIS has some nightly builds e.g. with ubuntugis dependencies.

Maybe snap could be useful? There does not seem to be a snap for GRASS yet:
https://snapcraft.io/search?q=grass

If you guys think this is of interest, I could have a look at it in Bonn (and maybe join forces with QGIS project if the relevant people for the QGIS snap [1,2] are in Bonn too).
I would also consider contributing to packaging, but I have no experience with that. So, maybe Martin (as we are on Ubuntu), we can have a short chat in Bonn to see if I can be of help there...

Looking forward to seeing you in Bonn!

Cheers
Stefan

1: https://github.com/Wollac/snap-qgis
2: https://github.com/elopio/QGIS/blob/snapcraft/snapcraft.yaml


-----Original Message-----
From: Moritz Lennert [mailto:mlennert at club.worldonline.be] 
Sent: torsdag 14. desember 2017 15.59

> I think Stefan means distribution packages.

> Theoretically this is possible. One could create a specific "grass-trunk" package which is packaged in a way to not conflict with the official stable grass version.

> However, I think most distribution packagers are already very busy just handling the stable packages. The difficulty with creating such a grass-trunk package would be that it would have to be repackaged regularly (daily), 
> but this means that whoever used it would have to have exactly the same versions of dependecy packages installed on their machine as on the package build machine.

> And then, which distribution and which version of a distribution should we make packages for ?

> In summary: if you are willing to create such a package against a clearly defined version of a distribution than this would be great, but I don't think you can count on either the core developers of GRASS, nor the packagers of different distributions for doing this.

> Moritz


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