gender VS drake

Compare gender vs drake and see what are their differences.

gender

Predict Gender from Names Using Historical Data (by lmullen)
R Rstats r-package
Source Code
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drake

An R-focused pipeline toolkit for reproducibility and high-performance computing (by ropensci)
Reproducibility high-performance-computing R Data Science drake Makefile Pipeline Workflow reproducible-research Rstats r-package ropensci peer-reviewed
Source Code
docs.ropensci.org
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InfluxDB - Power Real-Time Data Analytics at Scale
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gender drake
2 1
185 1,330
- 0.1%
0.0 6.1
over 2 years 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.

gender

Posts with mentions or reviews of gender. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-24.
  • Rant...
    2 projects | /r/datascience | 24 Jan 2023
  • How to make a prediction based on strings?
    1 project | /r/rstats | 1 Feb 2021
    Okay, that makes more sense haha. I’d look into the gender or genderizeR packages. You can use them directly or try to follow their explained methods from those links. Either way, it still might be tough due to the possible ambiguity in certain names in your data, but it should at least give you something to go off of.

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 gender and drake you can also consider the following projects:

wru - Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation

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

easystats - :milky_way: The R easystats-project

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

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

tinytex - A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live

gender vs wru drake vs targets drake vs easystats drake vs tabulapdf drake vs ncaahoopR drake vs fiery drake vs causalglm drake vs droll drake vs disk.frame drake vs tidyverse drake vs fastverse drake vs tinytex