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:
Install Dash Sylvereye via PyPi:
pip install dash-sylvereye
Examples, demo and full documentation:
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.