I have performed quite a few system wide conda installs to provide
jupyterhub in the past.
I usually started with a miniconda/minimamba as root in /opt/minconda.
Only root can install conda packages but that's a given for a multi-user
install that not everyone should be able to modify the environment -
unless you really want to by design.
You can make it available on the login shell to individual users by
adding a file with the correct path under /etc/profile.d/ that or an
activation method via a script.
François
On 03/02/2026 14:23, Nils Bruin wrote:
I ran into the following scenario:
A multi-user machine running a rather old but still supported linux
distribution that doesn't have sufficient prereqs to build and install
sage from source: I tried sage-the-distribution, but while
"bootstrap/configure" succeeded, gmp didn't want to build, probably
due to gcc being outdated.
So at that point I figured trying conda would be worthwhile. Because
conda is *designed* to work around lack of admin privileges, it is
actually not so clear from the instructions how to use conda to
install a piece of software for multi-user usage. It's quite doable to
get conda to put their install director in a location that is not in a
homedir, but conda *really* wants to write stuff into your .bashrc
(and obviously, I wouldn't want every user to have to do that!)
However, it seems like with the conda install completed,
/opt/sage/miniforge3/envs/sage/bin/sage
seems to start sage just fine, even without setting up the required
conda environment. It looks like the normal "sage" setup seems to do
enough: after "sage -sh" I'm getting from "gcc -v" the conda-forge gcc
rather than the outdated "gcc".
I'd imagine there may be a way of generating a sage start-up script
that would properly set up the conda environment before running sage,
but as far as I've tested, that's not even necessary.
It's a very quick way for getting sage installed, so perhaps there's
merit to getting a scenario like this more properly documented/supported.
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