packagefinder VS littler

Compare packagefinder vs littler and see what are their differences.

packagefinder

Comfortable search for R packages on CRAN, either directly from the R console or with an R Studio add-in (by jsugarelli)

littler

A scripting and command-line front-end for GNU R (by eddelbuettel)
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packagefinder littler
1 1
43 304
- -
0.0 8.2
6 months ago about 1 month ago
R R
GNU General Public License v3.0 only GNU General Public License v3.0 only
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.

packagefinder

Posts with mentions or reviews of packagefinder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-26.

littler

Posts with mentions or reviews of littler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-10.
  • Dockerizing Shiny Applications
    3 projects | dev.to | 10 May 2021
    The following RUN command uses the littler command line interface shipped with the r-base image to install the Shiny package and its dependencies:

What are some alternatives?

When comparing packagefinder and littler you can also consider the following projects:

seurat - R toolkit for single cell genomics

tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

Rblpapi - R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/

nflfastR - A Set of Functions to Efficiently Scrape NFL Play by Play Data

shinyproxy-hello

hts - Hierarchical and Grouped Time Series