Debian/Ubuntu Linux

⚠️ We do not support Linux systems that run on ARM processors due to being unsupported for some of our underlying packages.

Installing on Linux simply requires Python 3.8 or 3.9 and pip:

apt updateapt install python3.8 pip

Our recommendation is to install and use Bitfount in a virtual environment, so install virtualenv and activate it first:

pip install virtualenvpython -m venv <path_to_virtual_environment>source <path_to_virtual_environment>/bin/activate

Then you can use pip to install bitfount:

pip install bitfount

If you are planning on using the bitfount package with Jupyter Notebooks we recommend you install extra tutorial dependencies via bitfount[tutorials], which will make sure you are running compatible Jupyter dependencies.

pip install "bitfount[tutorials]"

Next Steps

Once you’ve installed Bitfount, the party who will provide the data for analysis must connect the data to a Pod. See For Data Custodians for detailed instructions.

If data is already connected to a Pod for analysis and you wish to train models on or query it, see For Data Scientists.