What is JSCharting?
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.
JSCharting is a tool in the Charting Libraries category of a tech stack.
Who uses JSCharting?
JSCharting Integrations
JavaScript, React, MySQL, PHP, and AngularJS are some of the popular tools that integrate with JSCharting. Here's a list of all 7 tools that integrate with JSCharting.
Pros of JSCharting
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JSCharting's Features
- 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
JSCharting Alternatives & Comparisons
What are some alternatives to 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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
Matplotlib
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.
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.
