Need advice about which tool to choose?Ask the StackShare community!

Chartify

0
4
+ 1
0
React Chartkick

0
11
+ 1
0
Add tool

Chartify vs React Chartkick: What are the differences?

Developers describe Chartify as "A React.js plugin for building customizable charts". Build charts with CSS in React. On the other hand, React Chartkick is detailed as "Create beautiful JavaScript charts with one line of React". Create beautiful JavaScript charts with one line of React

.

Chartify and React Chartkick can be primarily classified as "Charting Libraries" tools.

Chartify and React Chartkick are both open source tools. React Chartkick with 1.07K GitHub stars and 53 forks on GitHub appears to be more popular than Chartify with 633 GitHub stars and 22 GitHub forks.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
No Stats
- No public GitHub repository available -

What is Chartify?

Build charts with CSS in React

What is React Chartkick?

Create beautiful JavaScript charts with one line of React

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Chartify?
What tools integrate with React Chartkick?
What are some alternatives to Chartify and React Chartkick?
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.
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.
See all alternatives