Bokeh
Bokeh simplifies the creation of various plots while accommodating specialized use cases, making it ideal for data scientists and developers. Its interactive tools enable users to explore data in-depth and visualize results through web pages or Jupyter notebooks. Coupled with Python’s analytics ecosystem, Bokeh enhances data presentation and user engagement.
Top Bokeh Alternatives
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Top Bokeh Features
- Custom and specialized plots
- Interactive “what if” scenarios
- Support for Jupyter notebooks
- Integration with PyData tools
- Custom JavaScript capabilities
- Efficient streaming APIs
- Clean presentation for users
- Bootstrap for responsive dashboards
- Easy embedding methods
- Live tutorial notebooks on MyBinder
- BSD licensed and GitHub hosted
- Community-driven exploratory analysis
- Support for Flask and Django
- Interactive visualization tools for research
- Polished web apps with Panel
- Smart defaults in Chartify
- Multiple image visualization in Mistic
- Bayesian model diagnostics in ArviZ
- Dedicated nonprofit sponsorship
- Real-time data visualization capabilities
