ipyleaflet
A Jupyter widget for dynamic Leaflet maps
Decision gist · record as of 2026-08-14
Yes. ipyleaflet is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively. It fills a clear need for interactive geographic visualization in Jupyter notebooks. Install it if you work with geographic data in notebooks.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter notebook or compatible environment; ipywidgets must be installed and enabled in the notebook kernel.
- Installation is straightforward with low friction; the package is actively maintained with recent commits and a stable release cycle.
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for commercial and open-source projects alike.
last release 2025-06-13 (427 days) · last repo commit 2026-05-07 · 1,537 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 485,517 downloads/mo, #6,397 on PyPI
Alternatives
Verify before relying
pip install ipyleaflet
from ipyleaflet import Map
m = Map()
m- Whether the package works with JupyterLab in addition to classic Jupyter notebooks
- Performance characteristics when rendering large GeoJSON datasets or many map layers
- Extent of built-in basemap providers and whether additional tile sources can be added
What it is and what it does
ipyleaflet is a Python widget that bridges Jupyter notebooks with the Leaflet JavaScript mapping library, letting you create and interact with geographic maps directly in notebook cells. It wraps Leaflet's functionality—basemaps, GeoJSON overlays, markers, popups, and drawing tools—as interactive Python objects you can manipulate from code.
The package depends on ipywidgets for the notebook widget framework, branca for map rendering, traittypes for type validation, xyzservices for tile provider management, and jupyter-leaflet for the front-end component. It supports Python 3.8, 3.9, 3.10, 3.11, and 3.12, and is actively maintained by the Jupyter project.
Use it for
- Explore and visualize geographic datasets interactively in research notebooks without leaving the Jupyter environment.
- Build choropleth maps to display regional statistics or survey results with color-coded regions.
- Compare two map views side-by-side using the splitmap control to highlight changes or differences.
- Overlay velocity or flow data on a map to visualize patterns in geographic space.
- Prototype geospatial analysis workflows by combining map interaction with Python data processing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
ipyleaflet is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed permissively. It fills a clear need for interactive geographic visualization in Jupyter notebooks. Install it if you work with geographic data in notebooks.
Install
ipyleaflet on PyPI
Before you install
Installation is straightforward with low friction; the package is actively maintained with recent commits and a stable release cycle.
Requires Jupyter notebook or compatible environment; ipywidgets must be installed and enabled in the notebook kernel.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for commercial and open-source projects alike.
Quickstart
pip install ipyleaflet
from ipyleaflet import Map
m = Map()
mVerify before relying
- Whether the package works with JupyterLab in addition to classic Jupyter notebooks
- Performance characteristics when rendering large GeoJSON datasets or many map layers
- Extent of built-in basemap providers and whether additional tile sources can be added
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesbrancaipywidgetsjupyter-leaflettraittypesxyzservices |
| Maintenance | Actively maintained 427 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 485,517 / month, #6,397 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: ipyleaflet-0.20.0-py3-none-any.whl
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