Installation

Conda

The official supported way to install OSMnx is with conda:

conda create -n ox -c conda-forge --strict-channel-priority osmnx

This creates a new conda environment and installs OSMnx into it, via the conda-forge channel. If you want other packages, such as jupyterlab, installed in this environment as well, just add their names after osmnx above.

To upgrade OSMnx to a newer release, remove the conda environment you created and then create a new one again, as above. Don’t just run “conda update” or you could get package conflicts. See the conda and conda-forge documentation for more details.

Docker

You can run OSMnx + JupyterLab directly from the official OSMnx Docker image.

Pip

If you already have all of its dependencies installed and tested on your system, you can install OSMnx with pip. OSMnx is written in pure Python and its installation alone is thus trivially simple. However, it depends on other packages written in C. Installing those dependencies with pip can be challenging depending on your specific system’s configuration. Therefore, if you’re not sure what you’re doing, just follow the conda instructions above to avoid installation problems.