ralger
ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2. (by feddelegrand7)
awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
| ralger | awesome-R | |
|---|---|---|
| 1 | 6 | |
| 152 | 5,805 | |
| - | - | |
| 1.5 | 4.0 | |
| about 1 year ago | 3 months ago | |
| R | R | |
| 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.
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.
ralger
Posts with mentions or reviews of ralger.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Opinions on Automated Webscraping in R vs Python
For R webscraping, check out https://github.com/feddelegrand7/ralger which is available on CRAN and builds in rvest and xml2. It simplifies the scrapping process quite a lot. I use it quite regularly and works beautifully.
awesome-R
Posts with mentions or reviews of awesome-R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
- Good coding groups for black women?
- Where to learn R?
-
Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
-
Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
-
WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
What are some alternatives?
When comparing ralger and awesome-R you can also consider the following projects:
easystats - :milky_way: The R easystats-project
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
sf - Simple Features for R
lab02_R_intro - Vežbe 2: Uvod u R
viridis - Colorblind-Friendly Color Maps for R
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R
GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.
remotes - Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs
rmpk - Mixed Integer Linear and Quadratic Programming in R