futureverse / futureLinks
R package: future: Unified Parallel and Distributed Processing in R for Everyone
☆994Updated this week
Alternatives and similar repositories for future
Users that are interested in future are comparing it to the libraries listed below
Sorting:
- Accelerating ggplot2☆938Updated 2 weeks ago
- Apply Mapping Functions in Parallel using Futures☆728Updated 7 months ago
- Data table backend for dplyr☆672Updated 3 weeks ago
- make 'ggplot' graphics interactive☆854Updated this week
- Generate R package documentation from inline R comments☆622Updated last month
- Function-oriented Make-like declarative workflows for R☆1,023Updated this week
- Write reusable, composable and modular R code☆928Updated 7 months ago
- A frictionless, pipeable approach to dealing with summary statistics☆1,133Updated 2 months ago
- Fast reading of delimited files☆635Updated 2 weeks ago
- Glue strings to data in R. Small, fast, dependency free interpreted string literals.☆740Updated last month
- 🐈🐈🐈🐈: tools for working with categorical variables (factors)☆555Updated last week
- Render bits of R code for sharing, e.g., on GitHub or StackOverflow.☆747Updated 3 weeks ago
- Set up commonly used 📦 components☆893Updated last week
- A fresh approach to string manipulation in R☆645Updated last week
- Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'☆683Updated last year
- R package that extends ggplot2☆609Updated last month
- On top of spaghetti, all covered in cheese....☆910Updated 3 years ago
- Easily install and load the tidymodels packages☆800Updated 2 weeks ago
- An R package for tidyverse-friendly statistical inference☆764Updated 2 months ago
- cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2☆740Updated 2 months ago
- Hexagon sticker in R☆783Updated 2 weeks ago
- A Framework for Building Robust Shiny Apps☆934Updated 3 weeks ago
- A tidy unified interface to models☆633Updated 2 weeks ago
- A modern re-imagining of the data frame☆725Updated 3 weeks ago
- A dplyr backend that partitions a data frame over multiple processes☆645Updated last year
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆603Updated 3 weeks ago
- Explore correlations in R☆593Updated last month
- Tidy data structures, summaries, and visualisations for missing data☆662Updated 5 months ago
- officer: office documents from R☆658Updated last month
- Presentation-Ready Data Summary and Analytic Result Tables☆1,146Updated this week