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10 changes: 5 additions & 5 deletions README.md
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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.
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-image.jpg)
![](assets/hero-animated.gif)

<p align="center">3 million points rendered from a geopandas <code>GeoDataFrame</code> in JupyterLab.</p>
<p align="center">3 million points rendered from a GeoPandas <code>GeoDataFrame</code> in JupyterLab. <a href="https://developmentseed.org/lonboard/latest/examples/internet-speeds/" target="_blank"> Example notebook</a>.</p>

## Install

To install lonboard using pip:
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:
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
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119 changes: 5 additions & 114 deletions examples/internet-speeds.ipynb

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