Labella.js vs MetricsGraphics.js

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Labella.js

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MetricsGraphics.js

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Labella.js vs MetricsGraphics.js: What are the differences?

What is 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.

What is MetricsGraphics.js? D3-based library optimized for visualizing time-series data. MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

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

Labella.js and MetricsGraphics.js are both open source tools. MetricsGraphics.js with 7.11K GitHub stars and 497 forks on GitHub appears to be more popular than Labella.js with 3.64K GitHub stars and 128 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 MetricsGraphics.js?

    MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

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    What companies use Labella.js?
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    What tools integrate with Labella.js?
    What tools integrate with MetricsGraphics.js?
    What are some alternatives to Labella.js and MetricsGraphics.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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