fastverse VS drake

Compare fastverse vs drake and see what are their differences.

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fastverse drake
3 1
213 1,330
1.9% 0.2%
6.8 6.1
18 days ago about 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.

fastverse

Posts with mentions or reviews of fastverse. 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 fastverse and drake you can also consider the following projects:

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

collapse - Advanced and Fast Data Transformation in R

easystats - :milky_way: The R easystats-project

engsoccerdata - English and European soccer results 1871-2022

tabulapdf - Bindings for Tabula PDF Table Extractor Library

tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!

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

MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

fiery - A flexible and lightweight web server

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

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