jupyter-leaflet
ipyleaflet extensions for JupyterLab and Jupyter Notebook
Decision gist · record as of 2026-08-14
Yes. Low install friction, active maintenance, no runtime dependencies, and MIT licensing make it a straightforward choice for anyone doing geospatial work in Jupyter. The main caveat is that the frontend widget extension must be available in your Jupyter environment; verify that before installing if you're using a non-standard Jupyter setup.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter notebook or JupyterLab environment; the widget frontend must be installed in your Jupyter installation for maps to render.
- Low install friction; pure Python wheel with no runtime dependencies.
- Actively maintained with recent commits and 1537 repository stars.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive); you may use, modify, and distribute the package freely, including in commercial projects, provided you include the license notice.
last release 2025-06-13 (427 days) · last repo commit 2026-05-07 · 1,537 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 448,508 downloads/mo, #6,600 on PyPI
Alternatives
Verify before relying
pip install jupyter-leaflet
In a Jupyter notebook:
from jupyter_leaflet import Map
m = Map()
m- Whether the frontend widget extension is automatically installed with the pip package or requires separate JupyterLab extension installation.
- Performance characteristics when rendering large GeoJSON files or many map layers.
- Compatibility with specific Jupyter versions beyond the Python version support stated.
- Specific basemap options, layer types, and interactive controls available through the API.
What it is and what it does
jupyter-leaflet is a Python package that brings interactive Leaflet.js maps into Jupyter notebooks and JupyterLab as interactive widgets. It lets you create, manipulate, and display geographic data—basemaps, GeoJSON overlays, markers, and custom Leaflet primitives—directly in notebook cells without leaving your computational environment.
The package acts as a bridge between the Jupyter widget ecosystem and Leaflet's JavaScript mapping library. You define maps and layers in Python, and jupyter-leaflet renders them as interactive web maps in the notebook output. It supports geospatial workflows like choropleth visualization, velocity data overlay, and split-map comparison, making it useful for exploratory geographic analysis, data journalism, and educational notebooks.
Use it for
- Explore and visualize GeoJSON datasets interactively within a notebook during data analysis.
- Create choropleth maps to show regional statistics or aggregated geographic data.
- Build interactive dashboards combining map layers with Python-computed analysis.
- Compare two map layers side-by-side using the split-map control for change detection.
- Prototype geospatial applications and share them as executable notebooks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Low install friction, active maintenance, no runtime dependencies, and MIT licensing make it a straightforward choice for anyone doing geospatial work in Jupyter. The main caveat is that the frontend widget extension must be available in your Jupyter environment; verify that before installing if you're using a non-standard Jupyter setup.
Install
jupyter-leaflet on PyPI
Before you install
Low install friction; pure Python wheel with no runtime dependencies. Actively maintained with recent commits and 1537 repository stars. Supports Python 3.8 through 3.12.
Requires Jupyter notebook or JupyterLab environment; the widget frontend must be installed in your Jupyter installation for maps to render.
License in practice
MIT license (permissive); you may use, modify, and distribute the package freely, including in commercial projects, provided you include the license notice.
Quickstart
pip install jupyter-leaflet
In a Jupyter notebook:
from jupyter_leaflet import Map
m = Map()
mVerify before relying
- Whether the frontend widget extension is automatically installed with the pip package or requires separate JupyterLab extension installation.
- Performance characteristics when rendering large GeoJSON files or many map layers.
- Compatibility with specific Jupyter versions beyond the Python version support stated.
- Specific basemap options, layer types, and interactive controls available through the API.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 427 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 448,508 / month, #6,600 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Multimedia :: Graphics |
Evidence: jupyter_leaflet-0.20.0-py3-none-any.whl
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