python-visualization/folium

★ 7,368PythonAudience · dataComplexity · 2/5Setup · easy

Mindmap

mindmap
  root((folium))
    What it does
      Interactive maps
      Location data viz
      No JavaScript needed
    Output
      Browser HTML
      Jupyter notebook
      Embedded webpage
    Features
      Markers and popups
      Choropleth layers
      Plugin ecosystem
    Setup
      pip install
      conda install

mindmap root((folium)) What it does Interactive maps Location data viz No JavaScript needed Output Browser HTML Jupyter notebook Embedded webpage Features Markers and popups Choropleth layers Plugin ecosystem Setup pip install conda install

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Things people build with this

USE CASE 1

Visualize a dataset of GPS coordinates or geographic regions as a clickable, zoomable web map from a Python script.

USE CASE 2

Embed an interactive map directly inside a Jupyter notebook alongside your data analysis code.

USE CASE 3

Add a live map view to a Streamlit app using the folium-streamlit connector plugin.

USE CASE 4

Render large geographic datasets as a fast map layer using the GPU-accelerated plugin for big data.

Tech stack

PythonJavaScriptLeaflet.jsJupyterStreamlit

Getting it running

Difficulty · easy Time to first run · 30min

In plain English

Folium is a Python library that lets you create interactive maps. You work with your data in Python using whatever tools you normally use, and then folium turns that data into a map you can view in a web browser, embed in a web page, or display inside a Jupyter notebook. The maps are powered by Leaflet.js, a well-established JavaScript mapping library, but you do not need to write any JavaScript yourself. The typical use case is someone who has location data in Python, perhaps a list of coordinates, geographic regions, or data tied to places on a map, and wants to visualize it without switching to a separate mapping tool. You write Python code to load and process the data, then call folium to render it as a zoomable, clickable map. Installation is a single pip or conda command. The README is brief and points to the full documentation on a separate website for examples and reference. An interactive demo is available via Binder, a service that runs the example notebooks in a browser without any local installation. Several third-party packages and plugins extend what folium can do. These include a connector for running folium inside Streamlit apps, a layer for fast rendering of large geographic datasets using the browser's graphics hardware, a geocoder plugin, and a tile layer variant with different zoom behavior. The README lists these with links but does not describe them in detail. Folium is open source and accepts contributions. The project uses GitHub for issue tracking and pull requests.

Copy-paste prompts

Prompt 1

Using folium in Python, show me how to plot a list of latitude and longitude coordinates as markers on an interactive map and save it as an HTML file.

Prompt 2

Write Python code with folium to create a choropleth map that colors countries or regions based on a numeric data column.

Prompt 3

How do I display a folium map inline inside a Jupyter notebook?

Prompt 4

How do I add a folium map to a Streamlit app using the streamlit-folium connector?

Prompt 5

How do I run the official folium example notebooks in my browser via Binder without installing anything locally?

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