A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook.

Selecting a basemap for a leaflet map:

Loading a geojson map:

Making use of leafletjs primitives:

Using the splitmap control:

Displaying velocity data on the top of a map:

Choropleth layer:

Using conda:

$ conda install -c conda-forge ipyleaflet

Using pip:

$ pip install ipyleaflet
$ jupyter nbextension enable --py --sys-prefix ipyleaflet  # can be skipped for
notebook 5.3 and above

If you have JupyterLab, you will also need to install the JupyterLab extension:

$ jupyter labextension install jupyter-leaflet

Some users have found that the jupyterlab-manager is also required in jupyterlab if the map does not display.

$ jupyter labextension install @jupyter-widgets/jupyterlab-manager

For a development installation (requires npm):

$ git clone https://github.com/jupyter-widgets/ipyleaflet.git
$ cd ipyleaflet
$ pip install -e .
$ jupyter nbextension install --py --symlink --sys-prefix ipyleaflet
$ jupyter nbextension enable --py --sys-prefix ipyleaflet

Note for developers: the --symlink argument on Linux or OS X allows one to modify the JavaScript code in-place. This feature is not available with Windows.

To get started with using ipyleaflet, check out the full documentation

https://ipyleaflet.readthedocs.io/

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the BSD-3-Clause license. See the LICENSE file for details.

The ipyleaflet repository includes the jupyter-leaflet npm package, which is a front-end component, and the ipyleaflet python package which is the backend for the Python Jupyter kernel.

Similarly, the xleaflet project provides a backend to jupyter-leaflet for the "xeus-cling" C++ Jupyter kernel.