๐บ๐ธ Made in United States
Discover United States's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of United States.
TOP R Projects
rstudio/shiny
Easy interactive web applications with R
hadley/r4ds
R for data science: a book
johnmyleswhite/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
twitter/AnomalyDetection
Anomaly Detection with R
rstudio/rmarkdown
Dynamic Documents for R
yihui/knitr
A general-purpose tool for dynamic report generation in R
toddwschneider/nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
rstudio/gt
Easily generate information-rich, publication-quality tables from R
szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
karthik/wesanderson
A Wes Anderson color palette for R
zonination/investing
Investing Returns on the Market as a Whole
rstudio/blogdown
Create Blogs and Websites with R Markdown
rstudio/reticulate
R Interface to Python
hadley/stats337
Readings in applied data science
rstudio/plumber
Turn your R code into a web API.
sfirke/janitor
simple tools for data cleaning in R
ropensci/drake
An R-focused pipeline toolkit for reproducibility and high-performance computing
rstudio/tensorflow
TensorFlow for R
griffithlab/rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
hadley/mastering-shiny
Mastering Shiny: a book
EmilHvitfeldt/r-color-palettes
Comprehensive list of color palettes available in R โค๏ธ๐งก๐๐๐๐
jrnold/ggthemes
Additional themes, scales, and geoms for ggplot2
slowkow/ggrepel
๐ Repel overlapping text labels away from each other in your ggplot2 figures.
juliasilge/tidytext
Text mining using tidy tools โจ๐โจ
hrbrmstr/hrbrthemes
๐ Opinionated, typographic-centric ggplot2 themes and theme components
easystats/easystats
๐ The R easystats-project
rstudio/renv
renv: Project environments for R.
easystats/performance
๐ช Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
ddsjoberg/gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
sparklyr/sparklyr
R interface for Apache Spark
johnmyleswhite/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
Mikata-Project/ggthemr
Themes for ggplot2.
rstudio/pagedown
Paginate the HTML Output of R Markdown with CSS for Print
ropensci/targets
Function-oriented Make-like declarative workflows for R
BlakeRMills/MetBrewer
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
ramnathv/slidify
Generate reproducible html5 slides from R markdown
business-science/tidyquant
Bringing financial analysis to the tidyverse
rstudio/pointblank
Data quality assessment and metadata reporting for data frames and database tables
easystats/see
๐จ Visualisation toolbox for beautiful and publication-ready figures
rstudio/keras
R Interface to Keras
zonination/perceptions
Perceptions of Probability and Numbers
ropensci/rtweet
๐ฆ R client for interacting with Twitter's [stream and REST] APIs
joshuaulrich/quantmod
Quantitative Financial Modelling Framework
grabear/awesome-rshiny
An awesome R-shiny list!
EmilHvitfeldt/paletteer
๐จ๐จ๐จ Collection of most color palettes in a single R package
ramnathv/htmlwidgets
HTML Widgets for R
hadley/r-pkgs
Building R packages
dkahle/ggmap
A package for plotting maps in R with ggplot2
mjskay/ggdist
Visualizations of distributions and uncertainty
hrbrmstr/waffle
๐ Make waffle (square pie) charts in R
jalapic/engsoccerdata
English and European soccer results 1871-2022
ben519/MLPB
Machine Learning Problem Bible | Problem Set Here >>
rstudio/ggvis
Interactive grammar of graphics for R
hms-dbmi/UpSetR
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
mjskay/tidybayes
Bayesian analysis + tidy data + geoms (R package)
rstudio/learnr
Interactive Tutorials with R Markdown
DavisVaughan/furrr
Apply Mapping Functions in Parallel using Futures
rweekly/rweekly.org
R Weekly
easystats/report
๐ ๐ Automated reporting of objects in R
rstudio/RStartHere
A guide to some of the most useful R Packages that we know about
benmarwick/rrtools
rrtools: Tools for Writing Reproducible Research in R
dgrtwo/fuzzyjoin
Join tables together on inexact matching
amplab-extras/SparkR-pkg
R frontend for Spark
hrbrmstr/ggalt
๐ Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
haozhu233/kableExtra
Construct Complex Table with knitr::kable() + pipe.
walkerke/tidycensus
Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R
datalorax/equatiomatic
Convert models to LaTeX equations
dmpe/R
Exercises (incl. analyses) with R language (math+statistics)
business-science/timetk
Time series analysis in the `tidyverse`
leedrake5/Russia-Ukraine
Equipment Loss Tracking
nanxstats/ggsci
๐ฆ Scientific journal and sci-fi themed color palettes for ggplot2
toddwschneider/ballr
Interactive NBA and NCAA Shot Charts with R and Shiny
elbersb/tidylog
Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
nstrayer/datadrivencv
R package for building customizable CVs from spreadsheets
joey711/phyloseq
phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:
easystats/bayestestR
๐ป Utilities for analyzing Bayesian models and posterior distributions
jiayiliujiayi/2020nCov_individual_archives
"Every individual matters. Every individual has a role to play." This is a repository that archives the individual stories during the COVID19 pandemic. ๅคไปฝๆฎ้ไบบๅจ็ซๆ ๆ้ด็่ฎฐๅฝใ๏ผๆ็ปญ็ฟป่ฏ & ๆดๆฐไธญ๏ผ
rstudio/blastula
Easily send great-looking HTML email messages from R
eclarke/ggbeeswarm
Column scatter / beeswarm-style plots in ggplot2
ropensci/tabulizer
Bindings for Tabula PDF Table Extractor Library
rstudio/r2d3
R Interface to D3 Visualizations
broadinstitute/infercnv
Inferring CNV from Single-Cell RNA-Seq
noamross/redoc
[NOTE: Project in suspended animation for now] Reversible Reproducible Documents
business-science/modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
hadley/plyr
A R package for splitting, applying and combining large problems into simpler problems
boxuancui/DataExplorer
Automate Data Exploration and Treatment
immunogenomics/harmony
Fast, sensitive and accurate integration of single-cell data with Harmony
Azure/Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
corybrunson/ggalluvial
ggplot2 extension for alluvial plots
tonyfischetti/assertr
Assertive programming for R analysis pipelines
benjjneb/dada2
Accurate sample inference from amplicon data with single nucleotide resolution
rudeboybert/fivethirtyeight
R package of data and code behind the stories and interactives at FiveThirtyEight
ropensci/magick
Magic, madness, heaven, sin
ropensci/visdat
Preliminary Exploratory Visualisation of Data
rstudio/hex-stickers
RStudio hex stickers
markfairbanks/tidytable
Tidy interface to 'data.table'
trinker/sentimentr
Dictionary based sentiment analysis that considers valence shifters
RamiKrispin/TSstudio
Tools for time series analysis and forecasting
hbctraining/scRNA-seq_online
jeffreybreen/twitter-sentiment-analysis-tutorial-201107
Code to reproduce the simple sentiment analysis from my presentation