Bokeh vs AnyChart

Overview

Bokeh

Stacks95

Followers183

Votes12

GitHub Stars20.2K

Forks4.2K

AnyChart

Stacks22

Followers96

Votes18

AnyChart vs Bokeh: What are the differences?

What is AnyChart? Robust JavaScript (HTML5) charting solution for easily adding interactive charts, maps and dashboards to web pages, apps. AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

What is Bokeh? *An interactive visualization library *. It is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. It can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

AnyChart and Bokeh can be primarily classified as "Charting Libraries" tools.

Some of the features offered by AnyChart are:

Cross-platform, cross-browser (IE6+)
Compatible with virtually all scripting languages (ASP, PHP, ColdFusion, Perl, etc.)
Huge, constantly growing number of supported types of charts, maps, stock/financial graphs, Gantt charts

On the other hand, Bokeh provides the following key features:

interactive visualization library
targets modern web browsers for presentation
versatile graphics

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Detailed Comparison

Bokeh	AnyChart
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.	AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.
interactive visualization library ; versatile graphics ; open source; https://github.com/bokeh/bokeh	Cross-platform, cross-browser (IE6+);Compatible with virtually all scripting languages (ASP, PHP, ColdFusion, Perl, etc.);Huge, constantly growing number of supported types of charts, maps, stock/financial graphs, Gantt charts;No installation;Driven by the state-of-the-art JavaScript API;No dependencies;Highly customizable;Easy to use;Events support;Multiple demos;Extensive docs and API reference;multiple interactive features (tooltips, (multi-)selection, hover, (multi-level) drill-downs, excluding data points, etc.);Powerful export engine;Full accessibility (Section 508);Fast, attentive customer support;Resonable pricing ($79+), flexible OEM/SaaS/PaaS licensing, free for non-commercial use
Statistics
GitHub Stars 20.2K	GitHub Stars -
GitHub Forks 4.2K	GitHub Forks -
Stacks 95	Stacks 22
Followers 183	Followers 96
Votes 12	Votes 18
Pros & Cons
Pros 12 Beautiful Interactive charts in seconds	Pros 10 Easy to use and super fast 8 A lot of chart types
Integrations
Bootstrap Flask NGINX React Django Python Jupyter Tornado Streamlit	Symfony Revel Slim Apache Maven Clojure Hibernate Akka Perl Pug ExpressJS

What are some alternatives to Bokeh, AnyChart?

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.