Statistics
Showing 36 of 221 projects
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.
A pandas-based Python library for calculating weighted statistics like means, medians, standard deviations, and distributions.
High-performance matrix and numerical computing library for Delphi and Free Pascal with linear algebra, ML primitives, and optimized kernels.
An Android library for drawing customizable arc charts to visualize statistics, ratings, or any segmented data.
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.
A JavaScript library for creating customizable thematic web maps using D3, designed for Eurostat data but compatible with custom geometries and statistics.
superseriousstats is a fast and efficient program to create statistics out of IRC chat logs
A comprehensive Ruby suite for performing basic and advanced statistical analysis, including regression, factor analysis, and reliability testing.
A Julia package providing multiple algorithms for non-negative matrix factorization, including multiplicative updates, ALS, coordinate descent, and separable NMF.
A Common Lisp library for generating sparkline strings from lists of numbers, enabling quick data visualization.
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.
CLI tool to monitor downstream load on DOCSIS cable networks using DVB-C hardware and generate RRDtool graphs.
A Swift library providing missing protocols for generic arithmetic, statistical, and logical operations.
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 Go library providing idiomatic implementations of continuous and discrete probability distributions with standard statistical methods.
A pure JavaScript library for linear regression analysis, enabling trendline creation and future value prediction.
A ROS 2 C++ library for collecting measurements and calculating moving average statistics across them.
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 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 Godot 3.0 library providing fast implementations of common statistical distributions for game development.
A curated F# data science stack providing an out-of-the-box solution similar to tidyverse or SciPy for .NET.
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