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Labella.js vs React Chartkick

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Labella.js
3
24
+ 1
0
React Chartkick
0
11
+ 1
0
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Labella.js vs React Chartkick: What are the differences?

Developers describe Labella.js as "Place labels on a timeline without overlap (by Twitter)". Labella allows you to create labels that don't overlap on a timeline. Instead the labels push each other over creating a more beautiful layout. 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

.

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

Labella.js and React Chartkick are both open source tools. Labella.js with 3.64K GitHub stars and 128 forks on GitHub appears to be more popular than React Chartkick with 1.07K GitHub stars and 53 GitHub forks.

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What is Labella.js?

Labella allows you to create labels that don't overlap on a timeline. Instead the labels push each other over creating a more beautiful layout.

What is React Chartkick?

Create beautiful JavaScript charts with one line of React

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

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

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