Statistics
Showing 36 of 221 projects
A pandas-based Python library for calculating weighted statistics like means, medians, standard deviations, and distributions.
A command-line tool for combining geospatial data across different spatial units using five statistical methods.
A lightweight, pure Swift library for implementing A/B and split testing in iOS apps without requiring an HTTP client.
An Android library for drawing customizable arc charts to visualize statistics, ratings, or any segmented data.
High-performance matrix and numerical computing library for Delphi and Free Pascal with linear algebra, ML primitives, and optimized kernels.
A Julia wrapper for fitting Lasso and ElasticNet GLM models using the glmnet Fortran library.
A Ruby interface to the GNU Scientific Library (GSL) for numerical computing.
superseriousstats is a fast and efficient program to create statistics out of IRC chat logs
A JavaScript library for creating customizable thematic web maps using D3, designed for Eurostat data but compatible with custom geometries and statistics.
A comprehensive Ruby suite for performing basic and advanced statistical analysis, including regression, factor analysis, and reliability testing.
A Common Lisp library for generating sparkline strings from lists of numbers, enabling quick data visualization.
A Julia package providing multiple algorithms for non-negative matrix factorization, including multiplicative updates, ALS, coordinate descent, and separable NMF.
A robust Lua library for 2D geometry, collision detection, and mathematical calculations.
A comprehensive Java library for statistics, data mining, and machine learning with interactive notebook support.
A Clojure library for data processing, cleanup, and interactive visualization using D3.
R package providing classes and methods for handling and analyzing spatio-temporal data.
A collection of useful Groovy language extensions for common tasks like clamping, sorting, file operations, and data conversions.
A Swift library providing missing protocols for generic arithmetic, statistical, and logical operations.
CLI tool to monitor downstream load on DOCSIS cable networks using DVB-C hardware and generate RRDtool graphs.
A minimalistic Clojure library for statistical analysis, inference, and machine learning.
A next-generation data analysis library for Go, offering parallel processing, data visualization, and seamless Python integration as an alternative to Pandas.
A Torch wrapper for the Cephes mathematical functions library, providing special mathematical functions for scientific computing.
A Ruby gem providing probability distributions with pure Ruby, C (GSL), and Java implementations for statistical computing.
A JavaScript toolkit for statistical analysis, including MCMC sampling, bootstrapping, and linear algebra.
A Home Assistant add-on that monitors Plex Media Server activity and provides detailed statistics.
A pure JavaScript library for linear regression analysis, enabling trendline creation and future value prediction.
A Go library providing idiomatic implementations of continuous and discrete probability distributions with standard statistical methods.
A suite of PowerShell command-line tools for querying, analyzing, and manipulating arrays and tabular data.
Native Julia implementations of standard SVM algorithms, including Pegasos and Dual Coordinate Descent.
A ROS 2 C++ library for collecting measurements and calculating moving average statistics across them.
A Godot 3.0 library providing fast implementations of common statistical distributions for game development.
A Go library providing runtime statistics struct, HTTP handler, and measure methods with customizable JSON encoding.
A Ruby gem for calculating text readability statistics, complexity metrics, and grade levels across 22 languages with high performance.
A simple and fast URL shortener with built-in statistics, requiring Redis for low-latency operation.
A JRuby-based multidimensional array library inspired by NumPy and NArray, providing scientific computing capabilities with linear algebra and statistics.
A curated F# data science stack providing an out-of-the-box solution similar to tidyverse or SciPy for .NET.
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