# jupyter-widgets/ipyleaflet

A Jupyter - Leaflet.js bridge

Repository: https://github.com/jupyter-widgets/ipyleaflet
Canonical: https://ross.abutalabs.com/products/ipyleaflet
Homepage: https://ipyleaflet.readthedocs.io
Language: TypeScript
License: MIT
License Family: permissive
Topics: jupyterlab-extension, leaflet, visualization, jupyter
Last push: 2026-05-07T12:49:17+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 8, longevity 100
- inputs: {"age_days": 4501, "days_push": 118, "days_rel": 446, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1538, forks 364 (observed 2026-08-28T04:05:00.310751+00:00)

## What it is
ipyleaflet is a Jupyter widget library that bridges Python with Leaflet.js, enabling interactive maps inside Jupyter notebooks and JupyterLab. It exposes Leaflet map layers, markers, and controls as Python objects with two-way communication.

## Use cases
- plot interactive maps in a jupyter notebook
- display markers and geo layers in jupyterlab
- visualize geospatial data from python
- embed leaflet maps in a notebook
- explore satellite imagery tiles interactively

## When to choose
- you work in Jupyter notebooks and need interactive maps
- you want to control Leaflet maps from Python code
- you need widget-based geospatial visualization with live updates

## When to avoid
- you need a standalone web map application outside notebooks
- you only need static map images
- you are not using Jupyter or a Python kernel

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, ui-components
- domain: data-visualization, web-development
- platform: python
- tags: jupyter-widgets, leaflet, interactive-maps, jupyterlab-extension, geospatial, maps, jupyter

## Member repositories
- jupyter-widgets/ipyleaflet (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:00.310751+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:57.632271+00:00, confidence not recorded.
  - readme: https://github.com/jupyter-widgets/ipyleaflet (fetched 2026-08-28T04:05:00.310751+00:00, sha ffd3da647595)
- Data as of 2026-08-30T08:39:29.467469+00:00.