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Labella.js

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22
+ 1
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Plottable.js

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+ 1
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Labella.js vs Plottable.js: What are the differences?

Labella.js: 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; Plottable.js: A library of modular chart components built on D3, by Palantir. Built on top of D3, Plottable gives you a set of flexible, premade components that you can combine and rearrange to build charts.

Labella.js and Plottable.js belong to "Charting Libraries" category of the tech stack.

Labella.js and Plottable.js are both open source tools. Labella.js with 3.64K GitHub stars and 128 forks on GitHub appears to be more popular than Plottable.js with 2.58K GitHub stars and 204 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 Plottable.js?

Built on top of D3, Plottable gives you a set of flexible, premade components that you can combine and rearrange to build charts.

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What tools integrate with Labella.js?
What tools integrate with Plottable.js?
What are some alternatives to Labella.js and Plottable.js?
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.
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.
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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