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ApexCharts

56
196
+ 1
16
Matplotlib

638
289
+ 1
10
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ApexCharts vs Matplotlib: What are the differences?

ApexCharts: 📊 Interactive SVG Charts for React and Vue.js. A modern JavaScript charting library to build interactive charts and visualizations with simple API; Matplotlib: A plotting library for the Python programming language. 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.

ApexCharts and Matplotlib can be primarily classified as "Charting Libraries" tools.

ApexCharts is an open source tool with 6.8K GitHub stars and 316 GitHub forks. Here's a link to ApexCharts's open source repository on GitHub.

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Pros of ApexCharts
Pros of Matplotlib
  • 4
    Provides zooming capabilities
  • 4
    Interactive charts
  • 3
    Graphs renders in SVG
  • 3
    Open source with MIT license
  • 2
    Multiple chart types such as pie, bar, line and others
  • 10
    The standard Swiss Army Knife of plotting

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Cons of ApexCharts
Cons of Matplotlib
  • 4
    Slow rendering
  • 5
    Lots of code

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- No public GitHub repository available -

What is ApexCharts?

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

What is 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.

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What companies use ApexCharts?
What companies use Matplotlib?
See which teams inside your own company are using ApexCharts or Matplotlib.
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What tools integrate with ApexCharts?
What tools integrate with Matplotlib?

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What are some alternatives to ApexCharts and Matplotlib?
ggplot2
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.
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.
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.
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.
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.
See all alternatives