plotly / dash-alternative-viz

Dash components & demos to create Altair, Matplotlib, Highcharts , and Bokeh graphs within Dash apps.

dash-alternative-viz

In Dash's built-in dash_core_components library, the dcc.Graph component uses standard Plotly figures.

Dash’s component plugin system provides a toolchain to create Dash components from any JavaScript-based library. dash-alternative-viz is a proof-of-concept Dash component library that provides Dash interfaces to Altair, matplotlib (or any compatible system like Seaborn, Pandas.plot, Plotnine and others!), Bokeh (with or without HoloViews), and HighCharts.

usage.py demo

Looking for something more generic?

The following components and component libraries are all MIT-licensed and free for you to use, just like Dash and Plotly:

• For general images (SVG, PNG, JPG, GIF), see the html.Img component.
• For XSS-safe Python interfaces for HTML, see dash_html_components
• For raw HTML or SVG strings, see dash_dangerously_set_inner_html
• For interactive data tables, see dash_table
• For interactive network graphs, see dash_cytoscape
• For interactive controls & plotly graphs, see dash_core_components
• For bioinformatics components including circos, dendrograms, ideograms and more, see dash_bio
• For interactive image editing and annotation, see dash_canvas
• For technical components for data acq and engineering hardware, see dash_daq

Having trouble choosing which graphing library to use?

Of course we’re biased, but we think that the Plotly library has you covered for almost any use-case. It’s in active development with dedicated full-time staff, and here are some new features ICYMI:

• Easy one-liner grammar-of-graphics-inspired dataframe plotting with Plotly Express
• Fast static image export with plotly.io
• Jupyter Widget support with FigureWidget
• A free JupyterLab Chart Editor
• JupyterLab support
• Datashader support