PyAutark

An interactive, jupyter-friendly Urban Data visualizer based on Autark

Installation

We recommend you to install PyAutark within an environment manager application, such as conda or uv. See below for the installation steps:

First, create a conda environment with the following command:

conda create -n pyautark

So far, this package was only tested with python 3.12. You can define the python version by adding python=3.12 to the command above. Once the environment is created, enter the environment and install PyAutark:

conda activate pyautark
pip install pyautark

Development

For development purposes, you should install PyAutark in editable mode and allow the hotreloading of the JS bundle as written below.

pip install -e ".[dev]"
cd js
npm run dev