evaluate VS drake

Compare evaluate vs drake and see what are their differences.

evaluate

A version of eval for R that returns more information about what happened (by r-lib)
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evaluate drake
2 1
107 1,330
0.9% 0.1%
5.7 6.1
6 months ago about 2 months ago
R R
GNU General Public License v3.0 or later 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.

evaluate

Posts with mentions or reviews of evaluate. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-13.
  • How can I get regexpr to recognize emojis?
    2 projects | /r/Rlanguage | 13 Nov 2022
    Unfortunately I think this may be at the root of it. I added these links (here & here) to another comment that touch on an old issue with emojis/utf8/windows10. There is also an emojifont package, which may or may not be helpful. Good luck!

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 evaluate and drake you can also consider the following projects:

sf - Simple Features for R

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

readr - Read flat files (csv, tsv, fwf) into R

easystats - :milky_way: The R easystats-project

shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds

tabulapdf - Bindings for Tabula PDF Table Extractor Library

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

rmarkdown - Dynamic Documents for R

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