tweetbotornot2
fastverse
| tweetbotornot2 | fastverse | |
|---|---|---|
| 1 | 3 | |
| 89 | 213 | |
| - | 0.9% | |
| 0.0 | 6.8 | |
| over 2 years ago | 22 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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
fastverse
-
Looking for a book for better coding - preferably functional
For writing faster code, the first thing you want to try is making sure it's properly vectorised. See The R Inferno for this. Some problems are more difficult than others to vectorise. When vectorisation is impossible, you probably want to interface with C++. First, check if there's already a fast package that serves your needs. If your problem is too specific, consider writing your own C++ code with Rcpp.
-
Vectorized function VS Loops
I understand the sentiment and I'm not trying to convince you to start writing optimised code to save ~2ms. There's a ton of optimised tools that I don't use myself because the time benefit is immaterial for what I do.
- Fastverse High-Performance and Low-Dependency Package for Data Manipulation in R
What are some alternatives?
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.
collapse - Advanced and Fast Data Transformation in R
rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs
engsoccerdata - English and European soccer results 1871-2022
targets-tutorial - Short course on the targets R package
MODIStsp - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
academictwitteR - Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.
awesome-R - A curated list of awesome R packages, frameworks and software.