Announcing the Release of Dash Sylvereye: Visualization of Large Road Networks with the Dash Framework 🚀

Dash Python
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I am thrilled to announce that the source code for our visualization library, Dash Sylvereye, is now publicly available on GitHub and PyPi!

Dash Sylvereye is a new Python library that facilitates the creation of interactive visualizations, specifically focusing on large primal street networks. The library offers a Dash component that supports interactive visualizations on top of web-tiled maps, catering to the analytical and visual needs of urban researchers and planners​​.

Here are some key features of Dash Sylvereye:

  • WebGL-powered visualizations for smooth rendering.
  • Interactive displays of primal street networks.
  • Seamless integration with Dash framework.
  • Real-time data monitoring and analysis.
  • Easy import of OpenStreetMap data via OSMnx library.
  • Accessible and easily deployable on web platforms.

:point_right: Explore and clone Dash Sylvereye on GitHub:

:point_right: Install Dash Sylvereye via PyPi:
pip install dash-sylvereye

:point_right: Examples, demo and full documentation:

:point_right: Read and cite the updated preprint:

We invite the community to provide feedback and help us in refining Dash Sylvereye to better serve your data visualization needs.

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Thanks for sharing, @alberto.garob . I’d love to learn more about specific use cases and how we can continue promoting it to the Dash community. I wrote you a direct message to connect.