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.

Explore and clone Dash Sylvereye on GitHub:

https://github.com/observatoriogeo/dash-sylvereye

Install Dash Sylvereye via PyPi:

pip install dash-sylvereye

Examples, demo and full documentation:

http://visualizacion.observatoriogeo.mx/…/sylvereye_docs/

Read and cite the paper on IEEE Access:

https://ieeexplore.ieee.org/document/10292630

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