This release is a pre-release and may not be stable for production use.
Geographic visualizations for HoloViews.
| Downloads |   |
| Build Status |  |
| Coverage |  |
| Latest dev release |   |
| Latest release |      |
| Docs |   |
| Support |  |
What is it?
GeoViews is a Python library that makes it easy to explore and visualize any data that includes geographic locations. It has particularly powerful support for multidimensional meteorological and oceanographic datasets, such as those used in weather, climate, and remote sensing research, but is useful for almost anything that you would want to plot on a map! You can see lots of example notebooks at geoviews.org.
GeoViews is built on the HoloViews library for building flexible visualizations of multidimensional data. GeoViews adds a family of geographic plot types based on the Cartopy library, plotted using either the Matplotlib or Bokeh packages.
Each of the new GeoElement plot types is a new HoloViews Element that
has an associated geographic projection based on cartopy.crs. The
GeoElements currently include Feature, WMTS, Tiles, Points,
Path, Polygons, Shape, Contours, LineContours,
FilledContours, Image, ImageStack, RGB, QuadMesh, TriMesh,
Graph, HexTiles, Labels, Text, Rectangles, Segments,
VectorField and WindBarbs objects, each of which can easily be
overlaid in the same plots. E.g. an object with temperature data can be overlaid with
coastline data using an expression like gv.Image(temperature) * gv.Feature(cartopy.feature.COASTLINE). Each GeoElement can also be
freely combined in layouts with any other HoloViews Element, making
it simple to make even complex multi-figure layouts of overlaid
objects.
Installation
You can then install GeoViews and all of its dependencies with the following:
conda install geoviews
Alternatively, you can install the geoviews-core package, which only installs the minimal dependencies required to run geoviews:
conda install geoviews-core
If you want to try out the latest features between releases, you can
get the latest dev release by specifying -c pyviz/label/dev.
You can also install it with pip:
python -m pip install geoviews
7 maintainers
Metadata
7 maintainers
Release files for geoviews 1.16.0rc0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| geoviews-1.16.0rc0.tar.gz | 504.0 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geoviews-1.16.0rc0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / geoviews-1.16.0rc0.tar.gz
| Download URL | geoviews-1.16.0rc0.tar.gz |
|---|---|
| Size | 504.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cf9a480455fa45ec0b36f3d749de8dbee5c0b879c3f165695b03d270161d6765
|
|
BLAKE2b-256 checksum How to use checksums |
89f24b274fbc3bc464e2994b07853d3003253a908758be283857a309cdeb01b8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.
Transparency logRelease files / geoviews-1.16.0rc0-py3-none-any.whl
| Download URL | geoviews-1.16.0rc0-py3-none-any.whl |
|---|---|
| Size | 570.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7e13c16fd462a95feb06bcc588fb24d94b304e3b8533b524272d4b9a7ccfbf06
|
|
BLAKE2b-256 checksum How to use checksums |
311493fc61572ef9b1bd2ac67d42f9feaf62c62bad698375efa262836ec9573a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.
Transparency logSecurity for geoviews 1.16.0rc0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for geoviews-1.16.0rc0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
