Installation ============ PreliZ is tested on Python 3.12+. And depends on matplotlib, numba, NumPy, and SciPy. See `pyproject.toml `_ for version information. For the latest release, you can install PreliZ either using pip or conda-forge: Using pip --------- .. code-block:: bash pip install preliz To make use of the interactive features, you can install the optional dependencies: .. tabs:: .. tab:: JupyterLab .. code-block:: bash pip install "preliz[full,lab]" .. tab:: Jupyter Notebook .. code-block:: bash pip install "preliz[full,notebook]" Using conda-forge ----------------- .. code-block:: bash conda install -c conda-forge preliz Development version ------------------- The latest development version can be installed from the main branch using pip: .. code-block:: bash pip install git+https://github.com/arviz-devs/preliz.git