basemap
Plot data on map projections with matplotlib
Decision gist · record as of 2026-08-14
Yes, if you need to plot scientific or geographic data on real map projections with matplotlib. The package is actively maintained, has no known vulnerabilities, and offers straightforward installation via precompiled wheels. Medium install friction is acceptable for the functionality gained. Not necessary if you only need simple lat/lon scatter plots.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires basemap-data package for basic map assets; optional basemap-data-hires for high-resolution data.
- Medium install friction due to compiled dependencies.
- Precompiled wheels available for Windows, macOS (Intel and ARM), and Linux across Python 3.9 through 3.13.
License · maintenance · safety
MIT (permissive) — MIT license for the library; GEOS dynamic library bundled with wheels is LGPL-2.1-only. Permissive licensing allows commercial and private use with attribution.
last release 2025-06-13 (427 days) · last repo commit 2026-05-04 · 815 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 105,043 downloads/mo, #12,725 on PyPI
Alternatives
Verify before relying
import basemap
import matplotlib.pyplot as plt
import numpy
# Create a Basemap instance with desired projection
# Add geographic features and plot data
plt.show()- Specific syntax and parameters for common projection types and coordinate transformations
- Performance characteristics with large datasets or high-resolution projections
- Current status and usage of optional OWSLib integration for wmsimage method
- Details on fillcontinents workaround using drawlsmask method
What it is and what it does
Basemap is a matplotlib toolkit for plotting data on map projections. It wraps geographic functionality—coastlines, political boundaries, coordinate transformations—around matplotlib's plotting engine, letting you render scientific and geographic data directly onto maps with support for various projections. The package depends on numpy, matplotlib, pyproj for coordinate system handling, and pyshp for shapefile support, plus basemap-data for essential map assets.
It's used when you need to visualize spatial data on actual geographic coordinates rather than abstract Cartesian grids. The library handles projection mathematics and provides ready-made geographic features so you can focus on your data layer. Installation is straightforward via pip with precompiled wheels available for current Python versions.
Use it for
- Plot weather or climate data on geographic maps with proper projections
- Visualize seismic events or geological survey data on regional or global maps
- Create publication-quality maps for scientific papers with coastlines and borders
- Display GPS trajectories or ship routes on map projections
- Generate maps showing regional statistics by country or state
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to plot scientific or geographic data on real map projections with matplotlib.
The package is actively maintained, has no known vulnerabilities, and offers straightforward installation via precompiled wheels. Medium install friction is acceptable for the functionality gained. Not necessary if you only need simple lat/lon scatter plots.
Install
basemap on PyPI
Before you install
Medium install friction due to compiled dependencies. Precompiled wheels available for Windows, macOS (Intel and ARM), and Linux across Python 3.9 through 3.13. Actively maintained with last commit 2026-05-04.
Requires basemap-data package for basic map assets; optional basemap-data-hires for high-resolution data.
License in practice
MIT license for the library; GEOS dynamic library bundled with wheels is LGPL-2.1-only. Permissive licensing allows commercial and private use with attribution.
Quickstart
import basemap
import matplotlib.pyplot as plt
import numpy
# Create a Basemap instance with desired projection
# Add geographic features and plot data
plt.show()Verify before relying
- Specific syntax and parameters for common projection types and coordinate transformations
- Performance characteristics with large datasets or high-resolution projections
- Current status and usage of optional OWSLib integration for wmsimage method
- Details on fillcontinents workaround using drawlsmask method
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <3.14,>=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 6 packagesbasemap_datapackagingnumpymatplotlibpyprojpyshp |
| Maintenance | Actively maintained 427 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 105,043 / month, #12,725 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: EducationIntended Audience :: Science/ResearchOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Python Modules |
Evidence: basemap-2.0.0-cp310-cp310-macosx_10_9_x86_64.whl; basemap-2.0.0-cp310-cp310-macosx_11_0_arm64.whl; basemap-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; basemap-2.0.0-cp310-cp310-win_amd64.whl; basemap-2.0.0-cp311-cp311-macosx_10_9_x86_64.whl; basemap-2.0.0-cp311-cp311-macosx_11_0_arm64.whl; basemap-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; basemap-2.0.0-cp311-cp311-win_amd64.whl; basemap-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl; basemap-2.0.0-cp312-cp312-macosx_11_0_arm64.whl; basemap-2.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; basemap-2.0.0-cp312-cp312-win_amd64.whl; basemap-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl; basemap-2.0.0-cp313-cp313-macosx_11_0_arm64.whl; basemap-2.0.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; basemap-2.0.0-cp313-cp313-win_amd64.whl; basemap-2.0.0-cp39-cp39-macosx_10_9_x86_64.whl; basemap-2.0.0-cp39-cp39-macosx_11_0_arm64.whl; basemap-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; basemap-2.0.0-cp39-cp39-win_amd64.whl
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See also basemap-data · Cartopy · contextily · pyproj · matplotlib · plotbin · cmap · splot · folium · cmocean