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Chartify vs Matplotlib: What are the differences?
Chartify: A React.js plugin for building customizable charts. Build charts with CSS in React; 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.
Chartify and Matplotlib belong to "Charting Libraries" category of the tech stack.
Chartify is an open source tool with 636 GitHub stars and 23 GitHub forks. Here's a link to Chartify's open source repository on GitHub.
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Learn MorePros of Chartify
Pros of Matplotlib
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Pros of Matplotlib
- The standard Swiss Army Knife of plotting10
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Cons of Chartify
Cons of Matplotlib
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Cons of Matplotlib
- Lots of code5
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What is Chartify?
Build charts with CSS in React
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 Chartify?
What companies use Matplotlib?
What companies use Chartify?
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What companies use Matplotlib?
See which teams inside your own company are using Chartify or Matplotlib.
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What tools integrate with Chartify?
What tools integrate with Matplotlib?
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What are some alternatives to Chartify and Matplotlib?
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
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.
C3.js
c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.