collapse VS r-yaml

Compare collapse vs r-yaml and see what are their differences.

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collapse r-yaml
2 1
599 154
- 1.3%
9.6 5.2
8 days ago 23 days ago
C C
GNU General Public License v3.0 or later 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.

collapse

Posts with mentions or reviews of collapse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-01.
  • is there a package using data.table that provides functions for descriptive stats, missingness etc?
    1 project | /r/rstats | 12 Oct 2022
    The ask is a little unclear. You might be interested in collapse and more generally in other packages in the fastverse. I guess it's also worth pointing out that data.table already provides alternative methods for certain base R descriptive stats functions (e.g., mean, etc.) that are automatically used when applied to datatables.
  • Benchmarking for loops vs apply and others
    2 projects | /r/rstats | 1 May 2022
    If you are looking for performance I would recommend to check the collapse package. The following line "collapse" = collapse::fsum(df_datatable$x, g=df_datatable$g) is around 2x faster than base::rowsum, and the dplyr style syntax doesn't add that much of an overhead "collapse dplyr" = df_datatable |> fgroup_by(g) |> fsum(x)

r-yaml

Posts with mentions or reviews of r-yaml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-20.
  • Setup local development environment for R-yaml
    2 projects | dev.to | 20 Mar 2023
    First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.

What are some alternatives?

When comparing collapse and r-yaml you can also consider the following projects:

fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

rpart - Recursive Partitioning and Regression Trees

writexl - Portable, light-weight data frame to xlsx exporter for R

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

epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.

priceR - Economics and Pricing in R

Yams - A Sweet and Swifty YAML parser.

bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

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

RFI - R-Fortran Interface for Modern Fortran