Statistics
Showing 36 of 158 projects
A JavaScript library for scientific and statistical computing, offering R-like statistical methods and linear algebra.
A Swift library providing probability tools and advanced data structures for building intelligent iOS/macOS applications.
A Go library for naive Bayesian classification and TF-IDF calculations on string sets.
A comprehensive statistical computation library for Rust, providing distributions, functions, and utilities for scientific computing.
A Python library for introductory data science education, developed for Berkeley's Data 8 course.
A self-hosted web application to track, rate, and explore your personal movie watch history with detailed statistics and integrations.
A Swift library providing a comprehensive collection of functions for statistical calculations.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
An R package for fitting linear, generalized, and nonlinear mixed-effects models using S4 classes and RcppEigen.
A Julia package for fitting linear and generalized linear models with comprehensive statistical functionality.
An Erlang-based metrics system for collecting realtime metrics from Erlang applications and publishing them via APIs and plugins.
An advanced PostgreSQL extension for query performance monitoring, aggregating statistics in configurable time buckets.
A C++ header-only library of statistical distribution functions with compile-time computing capabilities.
A Python library for statistical learning with a focus on time-dependent modeling, including point processes and generalized linear models.
An R package that automates exploratory data analysis and data treatment with one-line reports and visualizations.
An engine for ML/data tracking, visualization, explainability, drift detection, and dashboards, integrated with Polyaxon.
A lightweight Python tool for generating rich summary statistics of pandas and Polars dataframes directly in the console.
An unofficial Node.js API for programmatically accessing HLTV's Counter-Strike esports data, including matches, teams, players, and live scores.
A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.
A comprehensive PHP port of .NET LINQ to Objects for querying arrays and iterables with lazy evaluation.
A Go library implementing Exponentially Weighted Moving Average algorithms for efficient time-series data smoothing.
A Julia package for fitting linear and generalized linear mixed-effects models with maximum likelihood estimation.
Jupyter notebooks implementing algorithms, proofs, and summaries from 'The Elements of Statistical Learning' textbook.
A Julia package for multivariate statistics and data analysis, including dimension reduction techniques like PCA and LDA.
A Julia package providing comprehensive clustering algorithms and validation metrics for data analysis.
A Clojure library for high-performance Bayesian data analysis and machine learning on the GPU.
A lightweight Julia toolkit for working with time series data, providing efficient data structures and operations.
A Clojure/ClojureScript library for statistical distribution sampling and transducing functions.
A comprehensive Julia package implementing a wide range of statistical hypothesis tests for data analysis.
An R data package providing an excerpt from Gapminder's global development data for teaching and examples.
A lightweight JavaScript library for data analysis with CSV reading, statistical methods, and chart plotting.
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 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.
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