ggplot2 vs React Timeseries Charts

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ggplot2

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React Timeseries Charts

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React Timeseries Charts vs ggplot2: What are the differences?

What is React Timeseries Charts? Declarative and modular timeseries charting components for React. This library contains a set of modular charting components used for building flexible interactive charts. It was built for React from the ground up, specifically to visualize timeseries data and network traffic data in particular.

What is ggplot2? A data visualization package for the statistical programming language R. It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

React Timeseries Charts and ggplot2 belong to "Charting Libraries" category of the tech stack.

Some of the features offered by React Timeseries Charts are:

  • Declarative layout of charts using JSX
  • Composition into multiple axis and multiple rows and overlays
  • Interactivity, including pan and zoom, selection and highlighting

On the other hand, ggplot2 provides the following key features:

  • Axis titles
  • Tickmarks
  • Margins and points in ggplot2 look cooler

ggplot2 is an open source tool with 4.04K GitHub stars and 1.51K GitHub forks. Here's a link to ggplot2's open source repository on GitHub.

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What is ggplot2?

It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

What is React Timeseries Charts?

This library contains a set of modular charting components used for building flexible interactive charts. It was built for React from the ground up, specifically to visualize timeseries data and network traffic data in particular.

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    What are some alternatives to ggplot2 and React Timeseries Charts?
    Tableau
    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
    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.
    Base
    The Intelligent Sales Productivity Platform - leveraging Big Data, mobility and real-time computing to give sales teams the tools they need to be successful.
    ApexCharts
    A modern JavaScript charting library to build interactive charts and visualizations with simple API.
    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