Plotly provides an open-source Python library for creating interactive charts and data visualizations.
bokeh
vsD3.js
bokeh vs D3.js
How do bokeh and D3.js compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | bokeh | D3.js |
|---|---|---|
| What it is | Bokeh creates interactive plots, dashboards, and data applications in Python. | For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates. |
| Website | ||
| Type | Online tool | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both bokeh and D3.js.
Matplotlib provides Python tools for creating plots and visualizations from data.
Vega-Altair provides declarative data visualization tools for Python applications.
Seaborn provides statistical data visualization tools and plotting functions for Python.
Highcharts provides JavaScript charting for dashboards, maps, stock data, grids, and web applications.
ParaView analyzes and visualizes data across settings ranging from laptops to supercomputers, according to its project site.