Statistics
Showing 36 of 221 projects
A high-performance Clojure math library optimized for primitive operations, featuring statistics, random numbers, vectors, matrices, and numerical methods.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
A Swift library providing probability distributions and statistical functions for probabilistic computing.
An open-source Python library for detecting concept and data drift in machine learning systems.
A Rust tool for drawing low-resolution graphs directly in the terminal for quick data analysis from logs and text files.
An F# type provider that enables seamless interoperability with R packages, offering type-safe access to R functions from .NET.
An R package for spatial and spatio-temporal geostatistical modeling, prediction, and simulation.
An R package for creating and exporting statistical animations to HTML, GIF, video, and PDF formats.
A Julia package providing kernel density estimation (KDE) for univariate and bivariate data with flexible bandwidth selection and interpolation.
A comprehensive family of R packages for analyzing spatial point pattern data and other spatial data types.
A Rust binding for the GNU Scientific Library (GSL), providing access to numerical routines for scientific computing.
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
A cross-platform menu bar app that tracks GitHub contribution streaks and statistics with reminder notifications.
A collection of mathematical functions for Elixir focused on statistics, linear algebra, and machine learning.
A blazing fast JavaScript raster processing engine for analyzing GeoTIFFs in browsers and Node.js.
A C++ library with R interface for practical volume computation and sampling of convex bodies in high dimensions.
A Swiss knife collection of utility functions for developing and evaluating machine learning algorithms in Julia.
A cross-platform .NET wrapper for Intel MKL, providing high-performance matrix algebra, optimization, and statistics functions.
A high-performance Rust library for simulating stochastic processes, with applications in quantitative finance, statistical modeling, and synthetic data generation.
A fast schema and data analyzer for MongoDB that provides detailed insights into database structure and content.
Julia package providing easy access to 700+ standard R datasets for data analysis and statistical learning.
A CLI tool written in Go that profiles Terraform runs to provide detailed statistics, resource-level metrics, and visualizations.
A CLI tool written in Go that profiles Terraform runs to provide detailed statistics, resource-level metrics, and visualizations.
Automatically update a pinned GitHub Gist with your GitHub statistics using GitHub Actions.
A convenience meta-package that loads essential Julia packages for statistics with a single import.
Statistical functions and distributions for Elixir, including descriptive statistics and probability distributions.
A simple, high-performance A/B testing library for Clojure web applications using multi-armed bandit algorithms.
A GitHub Action that generates a customizable SVG summary of your GitHub activity for your profile README.
A collection of command-line tools for real-time PostgreSQL statistics monitoring and reporting, similar to vmstat.
A comprehensive OCaml library for mathematical and statistical analysis with typed, descriptive APIs.
A comprehensive OCaml library for mathematical and statistical analysis with descriptive, typed APIs.
A simple and functional machine learning library for Erlang, Elixir, and Gleam projects.
A pure Julia implementation of LOESS (locally weighted regression) for smoothing scatterplots and fitting non-parametric models.
A PHP library for building predictions using linear regression with simple data fitting.
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