leafmap vs prettymaps
A data-driven comparison of two Python map & geospatial visualization libraries: popularity, development activity, licensing and installation. Updated .
leafmapInteractive mapping and geospatial analysis in Jupyter with multiple mapping backends.
prettymapsDraws stylized maps from OpenStreetMap data, using osmnx and matplotlib.
Key differences
- prettymaps has 3.8× as many GitHub stars as leafmap (14.3K vs 3.8K).
- leafmap had more development activity over the last 12 months: 130 commits vs 9.
- leafmap is downloaded 141× as often on PyPI (11.3K vs 80 per week).
- leafmap is licensed under MIT; prettymaps under AGPL-3.0.
By the numbers
- leafmap
- prettymaps
Show data as a table
| Metric | leafmap | prettymaps |
|---|---|---|
| GitHub stars | 3,794 | 14,321 |
| PyPI downloads / week | 11,309 | 80 |
| Commits, last 12 months | 130 | 9 |
| Contributors | 46 | 20 |
| Forks | 477 | 735 |
Development activity
Commits per month to each default branch, last 12 complete months.
- leafmap
- prettymaps
Show data as a table
| Month | leafmap | prettymaps |
|---|---|---|
| Nov 2025 | 39 | 0 |
| Dec 2025 | 6 | 0 |
| Jan 2026 | 16 | 0 |
| Feb 2026 | 6 | 0 |
| Mar 2026 | 16 | 0 |
| Apr 2026 | 5 | 0 |
| May 2026 | 5 | 0 |
| Jun 2026 | 2 | 0 |
| Jul 2026 | 6 | 9 |
| Aug 2026 | 12 | 0 |
| Sep 2026 | 5 | 0 |
| Oct 2026 | 12 | 0 |
Side by side
| Attribute | leafmap | prettymaps |
|---|---|---|
| Description | Interactive mapping and geospatial analysis in Jupyter with multiple mapping backends. | Draws stylized maps from OpenStreetMap data, using osmnx and matplotlib. |
| Category | Python map & geospatial visualization libraries | Python map & geospatial visualization libraries |
| License | MIT | AGPL-3.0 |
| Language | Python | Python |
| Status | Active | Maintained |
| Latest release | v0.64.0 () | v1.4.2 () |
| Last commit | ||
| Repository created | ||
| Open issues | 0 | 16 |
| Install | pip install leafmap | pip install prettymaps |
Which should you choose?
Popularity and activity are only part of the story. Consider which ecosystem you work in, the chart types and interactions you need, how much data you render, and whether the license fits your project. Both tool pages list alternatives if neither is quite right.
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leafmap
Interactive mapping and geospatial analysis in Jupyter with multiple mapping backends.
-
prettymaps
Draws stylized maps from OpenStreetMap data, using osmnx and matplotlib.