The most updated instructions on installing Sciunit can be found at: https://sciunit.run/install
sciunit is a command-line tool that answers the call for a reusable research object that containerizes and stores applications simply and efficiently, facilitates sharing and collaboration, and eases the task of executing, understanding, and building on shared work.
This section introduces the binary distributions of sciunit.
Requires: pip>=8.1.1, glibc>=2.17, python2.7 with headers and compiler
Platform: amd64-pc-linux-gnu
Ensure that ~/.local/bin is in your PATH environment variable,
and then, run
pip2 install --user sciunit2
Add --upgrade to the command line arguments to upgrade an existing
sciunit installation.
[ Note Attempt to install sciunit with "pip install sciunit" will get you something else; our PyPI project is registered as "sciunit2". --end note ]
Verify the installation with
sciunit --version
In the following per-distro instructions, if you see a command-line in the form of
export PATH=~/.local/bin:$PATH
, it merely means that you will need the aforementioned binary path
in PATH before proceeding; normally you should adjust it according
to your login shell and write it to a shell configuration such as
~/.profile.
sudo apt update sudo apt install python-dev python-pip pip2 install --user sciunit2
sudo apt update sudo apt install python-dev python-pip pip2 install --user -U pip export PATH=~/.local/bin:$PATH pip2 install --user sciunit2
sudo pacman -S python2-pip export PATH=~/.local/bin:$PATH pip2 install --user sciunit2
sudo dnf install python2-pip python2-devel gcc redhat-rpm-config pip2 install --user sciunit2
sudo yum install -y epel-release sudo yum install python2-pip python-devel gcc pip2 install --user sciunit2
sudo yum install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm sudo yum install python2-pip python-devel gcc pip2 install --user sciunit2
sudo apt update sudo apt install python-dev python-pip export PATH=~/.local/bin:$PATH pip2 install --user sciunit2
sudo apt update sudo apt install python-dev python-pip pip2 install --user -U pip export PATH=~/.local/bin:$PATH pip2 install --user sciunit2
Note that OpenSUSE defaults user-binary path to ~/bin rather than ~/.local/bin, so you may want to symlink one to the other.
sudo zypper install python-pip python-devel gcc pip2 install --user -U pip export PATH=~/.local/bin:$PATH pip2 install --user sciunit2
Instructions for custom build of sciunit2 is available in our Bitbucket project repository. You may want to check it out if you are running on a system that is not supported by the binary distribution.
Execute
sciunit post-install
as a normal user to add command-line completion support for
sciunit to your login shell. When running this or any other
sciunit command, if your environment is not listed in the
Installing section, or you missed some prerequisites before
issuing pip, you may observe the following error:
ImportError: No module named _bsddb
Fortunately, there are more than one ways to fulfill this dependency. Try to find and install a package often named "python-bsddb" or "python-bsddb3" with your system package manager. In Anaconda, you will need a port called "bsddb."
To make the command-line completion work, if you are a bash users,
make sure that you have the "bash-completion" package installed on your
system. If you are a tcsh user, make sure that you have
source ~/.complete in ~/.cshrc or ~/.tcshrc as suggested by
the stock completion script.
Checkout our tutorial and manpage. The manpage is available as
man sciunit
after a successful installation.
Sciunit acknowledges support from the National Science Foundation, Bloomberg Foundation, and DePaul University.