Metadata-Version: 2.1 Name: lonboard Version: 0.10.3 Summary: Fast, interactive geospatial data visualization in Jupyter. Home-page: https://github.com/developmentseed/lonboard License: MIT Keywords: GIS,cartography,visualization,geopandas,pandas,shapely Author: Kyle Barron Author-email: kyle@developmentseed.org Requires-Python: >=3.8,<4.0 Classifier: Development Status :: 4 - Beta Classifier: Framework :: Jupyter Classifier: Framework :: Jupyter :: JupyterLab Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3 :: Only Classifier: Topic :: Scientific/Engineering :: GIS Provides-Extra: cli Provides-Extra: geopandas Provides-Extra: movingpandas Requires-Dist: anywidget (>=0.9.0,<0.10.0) Requires-Dist: arro3-compute (>=0.4.1) Requires-Dist: arro3-core (>=0.4.1) Requires-Dist: arro3-io (>=0.4.1) Requires-Dist: click (>=8.1.7,<9.0.0) ; extra == "cli" Requires-Dist: geopandas (>=0.13) ; extra == "geopandas" Requires-Dist: ipywidgets (>=7.6.0) Requires-Dist: movingpandas (>=0.17) ; extra == "movingpandas" Requires-Dist: numpy (>=1.14) Requires-Dist: pandas (>=2,<3) ; extra == "geopandas" Requires-Dist: pyogrio (>=0.8) ; extra == "cli" Requires-Dist: pyproj (>=3.3) Requires-Dist: shapely (>=2,<3) ; extra == "cli" or extra == "geopandas" Requires-Dist: traitlets (>=5.7.1) Requires-Dist: typing-extensions (>=4.6.0,<5.0.0) ; python_version < "3.12" Project-URL: Documentation, https://developmentseed.org/lonboard/latest/ Project-URL: Repository, https://github.com/developmentseed/lonboard Description-Content-Type: text/markdown # Lonboard [![PyPI][pypi_badge]][pypi_link] [![Conda Version][conda_version_badge]][conda_version] [![Binder][binder_badge]][binder_jupyterlab_url] [![open_in_colab][colab_badge]][colab_notebook_link] [pypi_badge]: https://badge.fury.io/py/lonboard.svg [pypi_link]: https://pypi.org/project/lonboard/ [binder_badge]: https://mybinder.org/badge_logo.svg [binder_jupyterlab_url]: https://mybinder.org/v2/gh/developmentseed/lonboard/HEAD?urlpath=lab/tree/examples/ [colab_badge]: https://colab.research.google.com/assets/colab-badge.svg [colab_notebook_link]: https://colab.research.google.com/github/developmentseed/lonboard/blob/main [conda_version_badge]: https://img.shields.io/conda/vn/conda-forge/lonboard.svg [conda_version]: https://anaconda.org/conda-forge/lonboard A Python library for fast, interactive geospatial vector data visualization in Jupyter. Building on cutting-edge technologies like [GeoArrow](https://github.com/geoarrow/geoarrow) and [GeoParquet](https://github.com/opengeospatial/geoparquet) in conjunction with [GPU-based map rendering](https://deck.gl/), Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface. ![](assets/hero-animated.gif)

3 million points rendered from a GeoPandas GeoDataFrame in JupyterLab. Example notebook.

## Install To install Lonboard using pip: ``` pip install lonboard ``` Lonboard is on [conda-forge](https://anaconda.org/conda-forge/lonboard) and can be installed using [conda](https://docs.conda.io), [mamba](https://mamba.readthedocs.io/), or [pixi](https://pixi.sh/). To install Lonboard using conda: ``` conda install -c conda-forge lonboard ``` To install from source, refer to the [developer documentation](https://github.com/developmentseed/lonboard/blob/main/DEVELOP.md). ## Get Started For the simplest rendering, pass geospatial data into the top-level [`viz` function](https://developmentseed.org/lonboard/latest/api/viz/#lonboard.viz.viz). ```py import geopandas as gpd from lonboard import viz gdf = gpd.GeoDataFrame(...) viz(gdf) ``` Under the hood, this delegates to a [`ScatterplotLayer`](https://developmentseed.org/lonboard/latest/api/layers/scatterplot-layer/), [`PathLayer`](https://developmentseed.org/lonboard/latest/api/layers/path-layer/), or [`PolygonLayer`](https://developmentseed.org/lonboard/latest/api/layers/polygon-layer/). Refer to the [documentation](https://developmentseed.org/lonboard/) and [examples](https://developmentseed.org/lonboard/latest/examples/internet-speeds/) for more control over rendering. ## Documentation Refer to the documentation at [developmentseed.org/lonboard](https://developmentseed.org/lonboard/). ## Why the name? This is a new binding to the [deck.gl](https://deck.gl) geospatial data visualization library. A "deck" is the part of a skateboard you ride on. What's a fast, geospatial skateboard? A lonboard. ![](assets/dalle-lonboard.jpg)