TCGAbiolinks VS ggplot2

Compare TCGAbiolinks vs ggplot2 and see what are their differences.

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TCGAbiolinks ggplot2
2 62
276 6,316
2.9% 1.2%
4.6 9.4
16 days ago 8 days ago
R R
- GNU General Public License v3.0 or later
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.

TCGAbiolinks

Posts with mentions or reviews of TCGAbiolinks. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

dada2 - Accurate sample inference from amplicon data with single nucleotide resolution

Altair - Declarative statistical visualization library for Python

bambu - Reference-guided transcript discovery and quantification for long read RNA-Seq data

tmap - R package for thematic maps

maftools - Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

vega - A visualization grammar.

rBLAST - Interface for the Basic Local Alignment Search Tool (BLAST) - R-Package

dplyr - dplyr: A grammar of data manipulation

awesome-R - A curated list of awesome R packages, frameworks and software.

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

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

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.