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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. | MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression. | 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. |
Declarative Approach for Individual Nodes Manipulation;
Functions Factory;
Web Standards;
Built-in ELement Inspector to Debug;
Uses SVG, Canvas, and HTML;
Data-driven approach to DOM Manipulation;
Voronoi Diagrams;
Maps and topo. | Line Chart;Multi-Line Chart;Few Observations;Small Range of Integers;Annotations;Some Percentages;Some Currency;X-Axis Not Time, Animated;Glorious Graphic;Multi-Line Linked | 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 |
Statistics | ||
GitHub Stars 111.7K | GitHub Stars - | GitHub Stars - |
GitHub Forks 22.9K | GitHub Forks - | GitHub Forks - |
Stacks 2.0K | Stacks 3 | Stacks 216 |
Followers 1.7K | Followers 22 | Followers 230 |
Votes 653 | Votes 2 | Votes 21 |
Pros & Cons | ||
Pros
Cons
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Integrations | ||
| No integrations available | ||
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.
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.
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.
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.
