Top Welcoming Open-Source R Repositories
Top welcoming R repositories. Scored by real 90-day external PR merge rates, maintainer review turnaround speed, and first-time contributor success.
Ranked R Repositories
Showing top 50 of 939 ranked repositories
| Rank | Repository | Tier | Score | Merge Rate | Good First Issues |
|---|---|---|---|---|---|
| #1 | Lightweight extension of the base R graphics system | S•Elite | 72.1 | 70.0% | - |
| #2 | ropensci/rix384 Reproducible Data Science environments for R with Nix | A•Welcoming | 67.1 | 100.0% | - |
| #3 | Advanced Machine Learning and Visualization | A•Welcoming | 66.8 | 94.7% | - |
| #4 | An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics. | A•Welcoming | 65.9 | 69.7% | - |
| #5 | Polars R bindings | A•Welcoming | 63.8 | 75.0% | 1 |
| #6 | R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference | A•Welcoming | 63.6 | 61.5% | - |
| #7 | Development repository for the Bioconductor package 'mixOmics ' | A•Welcoming | 63.6 | 100.0% | - |
| #8 | RStudio hex stickers | A•Welcoming | 63.5 | 83.3% | - |
| #9 | Run predictions inside the database | A•Welcoming | 63.4 | 97.2% | - |
| #10 | Data Analysis and Visualization in R for Ecologists | A•Welcoming | 63.2 | 75.0% | - |
| #11 | Easy Handling Discrete Time Markov Chains | A•Welcoming | 62.9 | 75.9% | - |
| #12 | openxlsx2 - read, write and modify xlsx files | B•Solid | 62.3 | 100.0% | - |
| #13 | glmmTMB | B•Solid | 62.1 | 75.0% | - |
| #14 | rstudio/gt2,161 Easily generate information-rich, publication-quality tables from R | B•Solid | 61.8 | 88.9% | - |
| #15 | :crystal_ball: Easy access to model information for various model objects | B•Solid | 61.2 | 87.5% | - |
| #16 | The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox. | A•Welcoming | 61.1 | 50.0% | - |
| #17 | rstudio/rmarkdown3,065 Dynamic Documents for R | B•Solid | 60.4 | 87.5% | - |
| #18 | Area-Proportional Euler and Venn Diagrams with Ellipses | A•Welcoming | 60.2 | 80.0% | - |
| #19 | An R package to create styled tables in multiple output formats, with a friendly, modern interface. | A•Welcoming | 59.8 | 100.0% | - |
| #20 | Satellite image time series in R | A•Welcoming | 59.5 | 90.9% | - |
| #21 | Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data. | A•Welcoming | 59.3 | 76.9% | - |
| #22 | paul-buerkner/brms1,433 brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan | A•Welcoming | 59.2 | 44.4% | - |
| #23 | r-lib/lintr1,297 Static Code Analysis for R | A•Welcoming | 59.2 | 73.7% | - |
| #24 | Pipeable steps for feature engineering and data preprocessing to prepare for modeling | A•Welcoming | 59.1 | 100.0% | - |
| #25 | The duckdb R package | A•Welcoming | 58.9 | 60.6% | - |
| #26 | An R package for single-cell and spatial omics analysis, integration, interpretation, and visualization. | A•Welcoming | 58.7 | 62.0% | - |
| #27 | topepo/caret1,667 caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models | A•Welcoming | 58.7 | 100.0% | - |
| #28 | An implementation of the Language Server Protocol for R | A•Welcoming | 58.4 | 69.2% | - |
| #29 | B•Solid | 57.8 | 100.0% | - | |
| #30 | This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services. | B•Solid | 57.6 | 75.0% | - |
| #31 | R's data.table package extends data.frame: | A•Welcoming | 57.6 | 46.2% | - |
| #32 | rstudio/renv1,164 renv: Project environments for R. | A•Welcoming | 57.5 | 70.6% | - |
| #33 | :chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models | A•Welcoming | 57.1 | 90.9% | - |
| #34 | ddsjoberg/gtsummary1,215 Presentation-Ready Data Summary and Analytic Result Tables | A•Welcoming | 57.1 | 92.0% | - |
| #35 | rstudio/shiny5,676 Easy interactive web applications with R | B•Solid | 57.1 | 60.0% | - |
| #36 | A package written for R focused on baseball analysis. Currently in development. | B•Solid | 56.7 | 85.7% | - |
| #37 | B•Solid | 56.6 | 100.0% | - | |
| #38 | Plotting tool for brain atlases, in ggplot | A•Welcoming | 56.5 | 87.5% | - |
| #39 | Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did | B•Solid | 56.4 | 75.0% | - |
| #40 | satijalab/seurat2,804 R toolkit for single cell genomics | A•Welcoming | 56.4 | 14.0% | - |
| #41 | Estimated marginal means | B•Solid | 56.3 | 100.0% | - |
| #42 | Packrat is a dependency management system for R | B•Solid | 56.2 | 100.0% | - |
| #43 | A lightweight version of R Markdown (without using Pandoc or knitr) | A•Welcoming | 55.9 | 88.9% | - |
| #44 | Enhancing {ggplot2} plots with statistical analysis 📊📣 | A•Welcoming | 55.9 | 68.8% | - |
| #45 | rOpenSci Packages: Development, Maintenance, and Peer Review | B•Solid | 55.7 | 66.7% | - |
| #46 | Spatial omics analysis toolbox | A•Welcoming | 55.6 | 83.3% | - |
| #47 | yihui/xfun155 Miscellaneous R functions | A•Welcoming | 55.4 | 88.9% | - |
| #48 | Extra learners for use in mlr3. | A•Welcoming | 55.4 | 88.9% | - |
| #49 | Call LLM APIs from R | A•Welcoming | 55.4 | 47.1% | - |
| #50 | Exploratory Web Apps for Analyzing Clinical Trial Data | B•Solid | 55.2 | 66.7% | - |
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Frequently Asked Questions: R Open Source
What is the most welcoming R open-source repository?
The highest-ranked R repository on GetMerged is currently grantmcdermott/tinyplot, with a C-Rank score of 72.1/100 and a 70.0% PR merge rate.
How can I find good first issues in R?
You can browse verified beginner-friendly issues in R by visiting our curated Good First Issues directory at getmerged.abhishekco.de/good-first-issue/r.
What makes a R repository ‘Super Welcoming’ on GetMerged?
A ‘Super Welcoming’ (S-Tier) R repository demonstrates an external PR merge rate above 80%, a median first response time within 24 to 48 hours, active review feedback, and clear onboarding documentation.