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Labella.js

3
22
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React PivotTable

7
25
+ 1
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Labella.js vs React PivotTable: 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 React PivotTable? React-based drag'n'drop pivot table with Plotly.js charts. Pivot tables are interactive data exploration and summarization tools which have been a critical part of data analysts’ toolkits for the past 25 years, especially in spreadsheets like Excel. PivotTable.js is one of the most popular Javascript pivot table implementations; react-pivottable is a reimagined version for the modern web.

Labella.js and React PivotTable can be categorized as "Charting Libraries" tools.

Labella.js and React PivotTable are both open source tools. It seems that Labella.js with 3.64K GitHub stars and 128 forks on GitHub has more adoption than React PivotTable with 497 GitHub stars and 98 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 PivotTable?

Pivot tables are interactive data exploration and summarization tools which have been a critical part of data analysts’ toolkits for the past 25 years, especially in spreadsheets like Excel. PivotTable.js is one of the most popular Javascript pivot table implementations; react-pivottable is a reimagined version for the modern web.

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