gender VS targets

Compare gender vs targets and see what are their differences.

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gender targets
2 10
185 869
- 1.6%
0.0 9.6
over 2 years ago 7 days ago
R R
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.

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.

targets

Posts with mentions or reviews of targets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-07.

What are some alternatives?

When comparing gender and targets you can also consider the following projects:

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

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing

awesome-pipeline - A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

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

targets-tutorial - Short course on the targets R package

dbt - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core]

vim-textobj-sentence - Improving on Vim's native sentence text object and motion

easystats - :milky_way: The R easystats-project

workflowr - Organize your project into a research website

tabulapdf - Bindings for Tabula PDF Table Extractor Library