- Overview
- Alternatives
- Pros & Cons
- Compare
Bokeh visualization library, documentation site.
.. read more.D3.js
With D3.js developers can produce dynamic, interactive data visualizations in web browsers. It's a free and opne-source JavaScript library that combines Scalable Vector Graphics, HTML5, and Cascading Style Sheets standards. The library gives developers the full capability of modern browsers and puts a strong emphasis on web standards.
Plotly
Plotly provides a frontend for data visualization used for machine learning and data science models. With Ploty you can
AmCharts
AmCharts is an interactive JavaScript library use to create chart and maps for data visualization. With AmCharts you can create interactive charts that allow your users to scroll, hover drag and select data for better visualization and manupulation.
Highcharts
A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Matplotlib
Matplotlib is a free and open-source data visualization library for Python. With Matplotlib you can vizualize data in plots, charts, histograms and much more.
Charts.css
Charts.css is a modern CSS data visualization framework. It utilizes CSS utility classes to style HTML elements as charts. Allowing developers to build interactive charts and data visualization components with CSS instead of JavaScript.
MongoDB Charts
ZoomCharts
How Are These Bokeh Alternatives Generated?
Information found on this page is crowd-sourced by the community and contains the most agreed upon Bokeh alternatives. You can use this information to find similar software to Bokeh for specific platforms with various pricing options and licenses. Anyone that have previously used Bokeh can suggest alternatives, vote on the accuracy of other users claims, and help more people in the process of doing so.
This page was last updated on Sun 23 Jan 2022 (3 weeks, 1 day ago).