Bokeh vs JSCharting
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | It is a JavaScript chart library for visualizing your data across all devices and platforms. Every JSCharting license includes the full suite of 150+ advanced chart types plus Gantt charts, JavaScript Org Charts, interactive stock and finance charts, seamless grid and calendar charts, JavaScript maps, and micro charts all for no additional charge. It has all the features you need and many you don't yet know you want. |
interactive visualization library ; versatile graphics ; open source; https://github.com/bokeh/bokeh | Gantt, org, calendar, and more—all in one;Maps with all countries/provinces built-in;Integrated data grid control;Light weight microCharts and sparklines;Library of useful SVG icons and graphics;Refined auto API: fewer settings, less code;
Charts look and feel right by default;100s of examples to learn and reuse;In-depth documentation—API & tutorials;Advanced developer support/guidance;Integrated UI controls;Modify/animate everything;Touch and mobile optimized;Responsive;Automatic accessibility compliance |
Statistics | |
GitHub Stars 20.2K | GitHub Stars - |
GitHub Forks 4.2K | GitHub Forks - |
Stacks 95 | Stacks 3 |
Followers 183 | Followers 9 |
Votes 12 | Votes 2 |
Pros & Cons | |
Pros
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Integrations | |
What are some alternatives to Bokeh, JSCharting?
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.
AnyChart
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.
