keyring VS ranger

Compare keyring vs ranger and see what are their differences.

keyring

:closed_lock_with_key: Access the system credential store from R (by r-lib)

ranger

A Fast Implementation of Random Forests (by imbs-hl)
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keyring ranger
1 2
187 757
0.0% 0.4%
6.8 7.6
about 2 months ago 4 months ago
R C++
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.

keyring

Posts with mentions or reviews of keyring. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.

ranger

Posts with mentions or reviews of ranger. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.
  • Ranger random forest with beta splits really slow?
    1 project | /r/rstats | 19 Dec 2022
  • What is your favorite R package and why?
    5 projects | /r/AskStatistics | 27 Mar 2021
    caret and tidymodels are one higher level of abstraction from glmnet. caret and tidymodels allow you to write reusable code that can apply to multiple different kinds of models like glmnet-style regularized regression, ranger-style random forests, mars-style regression, etc. This kind of abstraction is helpful when you're comparing different models or combining models and want to minimize new code written per model.

What are some alternatives?

When comparing keyring and ranger you can also consider the following projects:

renv - renv: Project environments for R.

dlookr - Tools for Data Diagnosis, Exploration, Transformation

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

ggplot2 - An implementation of the Grammar of Graphics in R

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

dplyr - dplyr: A grammar of data manipulation