Create beautiful, stylized maps from OpenStreetMap data via a webapp or Python package.
Prettymapp is a tool that creates visually appealing maps from OpenStreetMap data. It solves the problem of generating artistic, publication-ready map visualizations quickly and easily, either through a web interface or programmatically in Python.
Data scientists, developers, cartographers, and designers who need to create stylized maps for presentations, reports, or artistic projects without extensive GIS software knowledge.
Developers choose Prettymapp for its balance of simplicity and customization—offering beautiful predefined styles while allowing deep customization through Python, all with faster performance than the original prettymaps project.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
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Offers curated visual styles like Peach and Citrus, enabling instant creation of beautiful maps without design expertise, as shown in the example prints.
Provides a Python package for programmatic map generation, allowing deep customization and integration into data workflows, with examples for editing draw_settings and landcover classes.
Features a user-friendly Streamlit webapp for quick map generation without coding, demonstrated in the live demo and local setup instructions.
Rewritten from prettymaps to prioritize performance and reduced complexity, making it faster and more accessible, as noted in the README's philosophy.
Drops more complex settings from the original prettymaps project, limiting advanced customization for expert cartographers who need fine-grained control.
Relies solely on OpenStreetMap data, which can be incomplete or outdated in some regions, affecting map accuracy and reliability for critical applications.
The webapp's reliance on Streamlit may introduce scalability issues with very large map areas or high user loads, as it's not optimized for heavy server-side rendering.