NamedCaptureGroups VS textclean

Compare NamedCaptureGroups vs textclean and see what are their differences.

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NamedCaptureGroups textclean
1 1
0 238
- -
2.6 0.0
over 3 years ago over 2 years ago
R R
- -
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.

NamedCaptureGroups

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

textclean

Posts with mentions or reviews of textclean. We have used some of these posts to build our list of alternatives and similar projects.
  • Working with text
    1 project | /r/rstats | 21 Dec 2020
    https://github.com/trinker/textclean - helps you do a bunch of processing to remove weird symbols, messed up encoding, a bunch more stuff im not aware of

What are some alternatives?

When comparing NamedCaptureGroups and textclean you can also consider the following projects:

ggplot2 - An implementation of the Grammar of Graphics in R

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

spongebob - SPoNgeBOb-CAse cONveRSioN ToOLs

dplyr - dplyr: A grammar of data manipulation