A collection of statistical methods including mean, mode, median, range, variance, standard deviation, sum and product
implementating statistical methods in javascript
CSL style for Statistical Methods & Applications
Quickly calculate common statistics on lists of numbers
Statistical Library for JavaScript
Statistical routines and probability distributions.
AntV upper level visual component library
Advanced pattern recognition engine for tarot readings and esoteric analysis using statistical methods
Npm module for calculating chi-square test that gives us p-value for statistical significance with practical use in A/B testing.
This plugin transforms private class methods
Scientific and statistical computing in JavaScript.
[](https://npmjs.org/package/esbuild-visualizer) [](https://travis-ci.com/btd/esbuild-visualizer)
HTTP methods that node supports
Standard library statistical functions.
Lazy-evaluating list of files, based on globs or regex patterns
Utility methods and plugin for cssnano projects
Public logs API for OpenTelemetry
HTTP methods that are supported by Swagger 2.0
Statistical Library for JavaScript
A library for manipulating IPv4 and IPv6 addresses in JavaScript.
A drop-in replacement for fs, making various improvements.
Universal library for evaluating AI models
A blazing-fast equality comparison utility for a variety of use-cases
Unzip cross-platform streaming API
Statistical methods
libkalibera contains reimplementations of the statistical computations for benchmarking evaluation from the following papers by Tomas Kalibera and Richard Jones: 'Rigorous benchmarking in reasonable time'; 'Quantifying performance changes with effect size confidence intervals'.
Very simple resque statistic.
A Ruby gem that extends all Enumerable objects (Arrays, Ranges, Sets, etc.) with essential statistical methods. Provides mean, median, variance, and standard deviation calculations, along with robust outlier detection using the IQR method. Perfect for data analysis, performance monitoring, A/B testing, and cleaning datasets with extreme values. Zero dependencies and works seamlessly with any Ruby collection that includes Enumerable.
An ActiveRecord/PostGIS extension that provides statistical methods to spatial postgresql databases. It integrates with ActiveRecord to perform spatial weighting in PostGIS and performs statistical computations inside your rails app. Supports contiguious and distance-based calculations.
Mathstats is a basic statistics library. It is meant to be mixed into Array, but you can also use it as a standalone class.
Adds descriptive statistics methods to Enumerable module for use on collections or Numeric data
FAMIX export of method visibility statistics in Ruby code
Will provide a set of methods for the arrays to do statistics math.
Adds statistical helper methods like mean, median, mode, skewness, etc. to ruby's array class.
Mathstats is a basic statistics library. It is meant to be mixed into Array, but you can also use it as a standalone class.
This gem is intended to accomplish the same purpose as jStat js library: to provide ruby with statistical capabilities without the need of a statistical programming language like R or Octave. Some functions and capabilities are an implementation from other authors and are referenced properly in the class/method.
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