pydeck
Widget for deck.gl maps
Decision gist · record as of 2026-08-14
Yes. Pydeck is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. It is well-suited for anyone building interactive geospatial visualizations in Python, especially in Jupyter environments. The strong upstream project (deck.gl) and high download volume indicate broad adoption and stability.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; best used within a Jupyter environment or with notebook_display=False for standalone HTML export.
- Low install friction with a pure-Python wheel distribution.
- The package is actively maintained with a recent release and strong upstream engagement (14373 stars on the deck.gl repository).
License · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-07-02 (43 days) · last repo commit 2026-08-14 · 14,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 27,284,479 downloads/mo, #862 on PyPI
Alternatives
Verify before relying
pip install pydeck
import pydeck as pdk
layer = pdk.Layer('HexagonLayer', 'data.csv', get_position=['lng', 'lat'])
view_state = pdk.ViewState(longitude=-1.415, latitude=52.2323, zoom=6)
r = pdk.Deck(layers=[layer], initial_view_state=view_state)
r.to_html('map.html')- Performance characteristics with datasets larger than typical Jupyter memory constraints
- Browser compatibility and rendering performance across different deck.gl layer types
What it is and what it does
Pydeck is a Python wrapper around deck.gl, a WebGL-based visualization library, designed to make interactive geospatial maps accessible from Python. It depends on jinja2 for templating and numpy for numerical operations, and is optimized for Jupyter notebooks where visualizations render inline. You define layers (e.g., HexagonLayer, ScatterplotLayer) with your data, set a viewport, and render to interactive HTML or display directly in notebooks.
The package is intended for exploratory data analysis, dashboarding, and sharing spatial insights. It handles the translation between Python data structures and deck.gl's JavaScript API, so you work in Python while leveraging deck.gl's high-performance WebGL rendering. The library is actively maintained as part of the larger deck.gl ecosystem and supports modern Python versions.
Use it for
- Visualize geographic accident or incident clusters using HexagonLayer or ScatterplotLayer in a Jupyter notebook
- Build interactive dashboards showing spatial patterns in real estate, traffic, or environmental data
- Export large-scale map visualizations to standalone HTML files for sharing or embedding in web applications
- Explore multi-dimensional geospatial datasets with interactive filtering, zooming, and layer toggling
- Create 3D elevation maps or heatmaps from point cloud or gridded data for scientific analysis
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Pydeck is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. It is well-suited for anyone building interactive geospatial visualizations in Python, especially in Jupyter environments. The strong upstream project (deck.gl) and high download volume indicate broad adoption and stability.
Install
pydeck on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release and strong upstream engagement (14373 stars on the deck.gl repository).
Requires Python 3.8 or later; best used within a Jupyter environment or with notebook_display=False for standalone HTML export.
License in practice
Licensed under Apache License 2.0 (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install pydeck
import pydeck as pdk
layer = pdk.Layer('HexagonLayer', 'data.csv', get_position=['lng', 'lat'])
view_state = pdk.ViewState(longitude=-1.415, latitude=52.2323, zoom=6)
r = pdk.Deck(layers=[layer], initial_view_state=view_state)
r.to_html('map.html')Verify before relying
- Performance characteristics with datasets larger than typical Jupyter memory constraints
- Browser compatibility and rendering performance across different deck.gl layer types
Package facts
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesjinja2numpy |
| Maintenance | Actively maintained 43 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 27,284,479 / month, #862 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: JupyterIntended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Multimedia :: Graphics |
Evidence: pydeck-0.9.3-py2.py3-none-any.whl
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