SDMetrics has been developed and tested on Python 3.8, 3.9, 3.10, 3.11 and 3.12
Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where SDMetrics is run.
The easiest and recommended way to install SDMetrics is using pip:
pip install sdmetrics
This will pull and install the latest stable release from PyPi.
SDMetrics can also be installed using conda:
conda install -c sdv-dev -c conda-forge sdmetrics
This will pull and install the latest stable release from Anaconda.
If you want to install SDMetrics from source you need to first clone the repository
and then execute the make install
command inside the stable
branch. Note that this
command works only on Unix based systems like GNU/Linux and macOS:
git clone https://github.com/sdv-dev/SDMetrics
cd SDMetrics
git checkout stable
make install
If you intend to modify the source code or contribute to the project you will need to
install it from the source using the make install-develop
command. In this case, we
recommend you to branch from main
first:
git clone [email protected]:sdv-dev/SDMetrics
cd SDMetrics
git checkout main
git checkout -b <your-branch-name>
make install-develp
For more details about how to contribute to the project please visit the Contributing Guide.