tweetbotornot2 VS drake

Compare tweetbotornot2 vs drake and see what are their differences.

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tweetbotornot2 drake
1 1
89 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.

tweetbotornot2

Posts with mentions or reviews of tweetbotornot2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-22.

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 tweetbotornot2 and drake you can also consider the following projects:

tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning

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

GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.

easystats - :milky_way: The R easystats-project

rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs

tabulapdf - Bindings for Tabula PDF Table Extractor Library

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

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

targets-tutorial - Short course on the targets R package

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