rBAPS VS drake

Compare rBAPS vs drake and see what are their differences.

rBAPS

R implementation of the BAPS software for Bayesian Analysis of Population Structure (by ocbe-uio)
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rBAPS drake
2 1
9 1,330
- 0.1%
8.1 6.1
24 days ago 2 months 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.

rBAPS

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

drake

Posts with mentions or reviews of drake. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-02.
  • Your impression of {targets}? (r package)
    3 projects | /r/Rlanguage | 2 May 2021
    The targets package is the official successor to Drake, and has the same primary author (Will Landau). He has explained why he created targets, which includes stronger guardrails for users and better UX.

What are some alternatives?

When comparing rBAPS and drake you can also consider the following projects:

brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

targets - Function-oriented Make-like declarative workflows for R

rmarkdown - Dynamic Documents for R

easystats - :milky_way: The R easystats-project

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

tabulapdf - Bindings for Tabula PDF Table Extractor Library

ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data

fiery - A flexible and lightweight web server

causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

droll - An R package to analyze roll distributions

disk.frame - Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data

tidyverse - Easily install and load packages from the tidyverse