Showing 36 of 154 projects
A multi-language library providing implementations of common supervised machine learning evaluation metrics.
A unified data pipeline tool for ingestion, transformation with SQL/Python/R, and data quality checks across major platforms.
An R package for creating slideshows with remark.js through R Markdown, designed for presentation ninjas.
A tidyverse package for web scraping in R, inspired by Beautiful Soup and designed for data extraction workflows.
An R package that converts R functions into web APIs using special code annotations.
An R package for reshaping and tidying data into a consistent format for easier analysis.
A functional programming toolkit for R that enhances data manipulation with consistent, type-stable functions for working with vectors and lists.
A functional programming toolkit for R that enhances data manipulation with consistent, type-stable functions.
A collection of opinionated, typography-focused themes, color scales, and utilities for enhancing ggplot2 visualizations in R.
A web-based collaborative platform for research, teaching, and scientific publishing with Jupyter Notebooks, Sage Worksheets, LaTeX, and real-time collaboration.
Static code analysis tool for R that checks for style adherence, syntax errors, and potential semantic issues.
A modern, object-oriented machine learning framework for R, providing efficient building blocks for ML workflows.
A genomics analysis platform that uses Apache Spark to parallelize genomic data processing across clusters, replacing traditional file-based workflows.
A fast and friendly R package for reading rectangular data from delimited files like CSV and TSV.
A friendly HTTP client package for R that simplifies working with web APIs.
An R package providing the %>% pipe operator to improve code readability by structuring data operations left-to-right.
An R interface for Apache Spark that enables distributed data processing, machine learning, and SQL queries using familiar R syntax.
An R package for writing modular, reusable code using explicit imports and file-based modules without requiring full packages.
A REST interface for interacting with Apache Spark from anywhere, enabling remote code execution and job submissions.
An R package that extends ggplot2 with missing functionality for custom plot composition and advanced visualizations.
A comprehensive guide to building, documenting, testing, and distributing R packages.
An R package for unit testing that makes writing and running tests enjoyable and integrated into your workflow.
An R package for visualizing and annotating phylogenetic trees and other tree-like structures using the grammar of graphics.
A JupyterLab plugin that enables code formatting directly within notebooks using tools like Black and isort.
An R package for the quantitative analysis of textual data, providing comprehensive tools for natural language processing and text management.
An R package for creating waffle (square pie) charts and isotype pictograms using ggplot2.
An R package that simplifies parsing, manipulating, and calculating with dates and times.
An R package providing comprehensive historical soccer match datasets and analysis functions for European and MLS leagues.
An R binding package for calling Google Earth Engine API from within R, integrating with the R spatial ecosystem.
Generate static HTML documentation websites for R packages with minimal configuration.
An R package that creates reproducible examples from R code for sharing on GitHub, Stack Overflow, Slack, and other platforms.
Perform common JavaScript operations in Shiny apps to improve UX without writing JavaScript.
Interpreted string literals for R that embed expressions in curly braces for easy data interpolation.
An R wrapper for the Highcharts JavaScript library to create interactive and customizable charts from R objects.
An interactive grammar of graphics for R that combines ggplot2's grammar with reactive programming from Shiny.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
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