https://github.com/fastscape-lem/ipyfastscape

Interactive widgets for topographic data analysis and modelling in Jupyter notebooks
https://github.com/fastscape-lem/ipyfastscape

fastscape jupyter landscape topography xarray

Last synced: 11 months ago
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Interactive widgets for topographic data analysis and modelling in Jupyter notebooks

• Host: GitHub
• URL: https://github.com/fastscape-lem/ipyfastscape
• Owner: fastscape-lem
• License: bsd-3-clause
• Created: 2020-10-02T11:58:07.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2025-03-03T19:54:59.000Z (12 months ago)
• Last Synced: 2025-03-26T23:09:46.798Z (11 months ago)
• Topics: fastscape, jupyter, landscape, topography, xarray
• Language: Python
• Homepage:
• Size: 56.6 KB
• Stars: 46
• Watchers: 2
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Ipyfastscape

Interactive widgets for topographic data analysis and modelling in Jupyter notebooks.

While ipyfastscape is tightly integrated with [fastscape](https://github.com/fastscape-lem/fastscape),

it also integrates very well with any data in the form of an [xarray](https://github.com/pydata/xarray)

dataset or any model created with [xarray-simlab](https://github.com/benbovy/xarray-simlab).

The widgets available here are built on top of libraries of the jupyter's widget

ecosystem such as [ipywidgets](https://github.com/jupyter-widgets/ipywidgets)

and [ipygany](https://github.com/QuantStack/ipygany). You can reuse those

high-level UI components as-is within notebooks (embedded mini-apps) or for

building interactive dashboards that you can then publish as standalone web

applications (using [voilà](https://github.com/voila-dashboards/voila)).

## Features

- `TopoViz3d`: Paraview-like 3D terrain visualization, with time player and dimension explorer

![TopoViz3d demo](https://user-images.githubusercontent.com/4160723/95083363-b4e02800-071c-11eb-939d-463ebb8342a2.gif)

- `AppLinker`: Easily link different application instances for, e.g., side-by-side comparison



## Installation

You can install ipyfastscape either with conda:

``` sh

$ conda install ipyfastscape -c conda-forge

```

or using pip:

``` sh

$ python -m pip install ipyfastscape

```