Statistical computing
Showing 11 of 11 projects
A powerful Python library for data analysis and manipulation, providing fast, flexible data structures.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
An integrated development environment (IDE) for the R programming language with a comprehensive workbench and server capabilities.
A comprehensive Rust machine learning framework focused on preprocessing and classical algorithms, akin to scikit-learn.
A comprehensive, dependency-free statistics library for Go with extensive mathematical functions and thorough testing.
A general-purpose literate programming engine for dynamic report generation in R, designed to give users full control over output.
A collection of R packages for data science that share common design principles and work together seamlessly.
A meta-package for installing and loading core R packages for data science that share common design principles.
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