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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. | 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. | 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. |
It works in all modern mobile and desktop browsers including the iPhone/iPad and Internet Explorer from version 6;Free for non-commercial;One of the key features of Highcharts is that under any of the licenses, free or not, you are allowed to download the source code and make your own edits;Pure Javascript - Highcharts is solely based on native browser technologies and doesn't require client side plugins like Flash or Java. | Free or Commercial;
All chart and map types you might need;
Works on all modern browsers and also old IE;
Can use SVG filters;
Can be styled with CSS;
Online editor available;
Zoomable, Scrollable;
Date-based charts | 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 |
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Stacks 1.5K | Stacks 216 | Stacks 22 |
Followers 1.1K | Followers 230 | Followers 96 |
Votes 92 | Votes 21 | Votes 18 |
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| No integrations available | ||
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.
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.
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.
A modern JavaScript charting library to build interactive charts and visualizations with simple API.
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 Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
