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Chartify vs Chartify : 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, *Chartify * is detailed as "Easier chart creation in Python for data scientists, by Spotify". Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

Chartify and Chartify can be categorized as "Charting Libraries" tools.

Chartify is an open source tool with 633 GitHub stars and 22 GitHub forks. Here's a link to Chartify's open source repository on GitHub.

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What is Chartify?

Build charts with CSS in React

What is Chartify ?

Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

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What tools integrate with Chartify?
What tools integrate with Chartify ?
What are some alternatives to Chartify and Chartify ?
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.
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
See all alternatives