ggplot2 VS vega

Compare ggplot2 vs vega and see what are their differences.

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ggplot2 vega
62 18
6,382 10,931
0.8% 0.7%
9.4 8.4
2 days ago 9 days ago
R JavaScript
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ggplot2

Posts with mentions or reviews of ggplot2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-02.

vega

Posts with mentions or reviews of vega. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-16.

What are some alternatives?

When comparing ggplot2 and vega you can also consider the following projects:

Altair - Declarative statistical visualization library for Python

echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser

tmap - R package for thematic maps

Chart.js - Simple HTML5 Charts using the <canvas> tag

dplyr - dplyr: A grammar of data manipulation

Highcharts JS - Highcharts JS, the JavaScript charting framework

worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat

d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.

c3 - :bar_chart: A D3-based reusable chart library

deneb - Deneb is a custom visual for Microsoft Power BI, which allows developers to use the declarative JSON syntax of the Vega or Vega-Lite languages to create their own data visualizations.

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