ranger VS renv

Compare ranger vs renv and see what are their differences.

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ranger renv
2 4
757 961
0.4% 0.4%
7.6 9.5
4 months ago 8 days ago
C++ R
- MIT 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.

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.

renv

Posts with mentions or reviews of renv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-08.
  • Every modeler is supposed to be a great Python programmer
    2 projects | news.ycombinator.com | 8 Dec 2022
    As I alluded to, renv exists, but it requires a lot of development work before it is a comparably robust option for the ecosystem. Basic things like a command-line interface [0], working with non-CRAN repos [1], using an existing DESCRIPTION file [2], etc. There are many use cases where renv does not work in a corporate environment (ie not open-source all public code scenarios). Some of those issues have been open for years.

    I do not believe the situation is unsolvable, but there is significant work to be done. Renv provides value today, and I will encourage everyone to use it. However, it has significant blind spots which continue to make R deployments challenging.

    [0] https://github.com/rstudio/renv/issues/1055

  • What is your favorite R package and why?
    5 projects | /r/AskStatistics | 27 Mar 2021
    renv for managing packages in projects.
  • New package ‘box’: Write reusable, composable and modular R code
    4 projects | /r/rstats | 17 Feb 2021
    Oh wow! That is crazy!
  • Groundhog: Addressing the Threat That R Poses to Reproducible Research
    2 projects | news.ycombinator.com | 6 Jan 2021
    I’ve yet to use it personally, but renv [1] seems to try to solve the reproducible builds problem in a way more similar to other modern package managers (e.g. by generating a lockfile).

    This approach enables stricter validations against tampering with the package repositories as a hash of the package can be stored in the lockfile, however it is obviously a bit more complex to use than the groundhog approach.

    [1]: https://github.com/rstudio/renv

What are some alternatives?

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

dlookr - Tools for Data Diagnosis, Exploration, Transformation

groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages

keyring - :closed_lock_with_key: Access the system credential store from R

box - Write reusable, composable and modular R code

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

plotnine - A Grammar of Graphics for Python