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Labella.js vs Victory: 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 Victory? ReactJS library for building interactive data visualizations. A collection of composable React components for building interactive data visualizations.
Labella.js and Victory can be categorized as "Charting Libraries" tools.
Labella.js and Victory are both open source tools. It seems that Victory with 7.26K GitHub stars and 309 forks on GitHub has more adoption than Labella.js with 3.64K GitHub stars and 128 GitHub forks.
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Learn MoreWhat 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 Victory?
A collection of composable React components for building interactive data visualizations.
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What companies use Labella.js?
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What tools integrate with Labella.js?
What tools integrate with Victory?
What tools integrate with Labella.js?
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What are some alternatives to Labella.js and Victory?
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.