https://github.com/fgebhart/mapa-streamlit

Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa
https://github.com/fgebhart/mapa-streamlit

3d-printing digital-elevation-model elevation folium geospatial leaflet planetary-computer python satellite-data stl streamlit

Last synced: 4 months ago
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Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa

• Host: GitHub
• URL: https://github.com/fgebhart/mapa-streamlit
• Owner: fgebhart
• License: mit
• Created: 2022-03-11T09:17:29.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-11-09T22:40:07.000Z (about 1 year ago)
• Last Synced: 2024-05-02T04:18:24.806Z (9 months ago)
• Topics: 3d-printing, digital-elevation-model, elevation, folium, geospatial, leaflet, planetary-computer, python, satellite-data, stl, streamlit
• Language: Python
• Homepage: https://3dmaps.streamlit.app
• Size: 937 KB
• Stars: 13
• Watchers: 1
• Forks: 3
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mapa-streamlit 🌍

[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://3dmaps.streamlitapp.com)

[![Python Tests](https://github.com/fgebhart/mapa-streamlit/actions/workflows/test.yml/badge.svg)](https://github.com/fgebhart/mapa-streamlit/actions/workflows/test.yml)

A [streamlit web app](https://3dmaps.streamlitapp.com) which let's you create 3D-printable

STL files using satellite elevation data ([ALOS DEM](https://planetarycomputer.microsoft.com/dataset/alos-dem)) based on

[mapa](https://github.com/fgebhart/mapa).

This repo contains the source code of the streamlit web app, whereas the

[mapa repository](https://github.com/fgebhart/mapa) contains the source code of the algorithm which is responsible for

generating STL files.

![](https://i.imgur.com/WRwXpeE.png)

## Development & Contributions

Contributions are welcome! In case you would like to contribute to the

[mapa python package](https://pypi.org/project/mapa/), have a look at the

[mapa repository](https://github.com/fgebhart/mapa).

For setting up the development environment, clone this repo

```

git clone [email protected]:fgebhart/mapa-streamlit.git && cd mapa-streamlit

```

and run the following commands to install the requirements (in case you don't have poetry install, you can do so with

`pip install poetry`):

```

poetry install

poetry shell

```

To run the tests, run:

```

pytest tests/

```

To run the streamlit app, run:

```

streamlit run app.py

```