Quickly calculate common statistics on lists of numbers
TypeScript definitions for fast-stats
Type definitions for fast-stats 0.0.2 from https://www.github.com/DefinitelyTyped/DefinitelyTyped
It's a very fast and efficient glob library for Node.js
TypeScript typings for fast-stats
Recursive, synchronous, and fast file system walker
[](https://www.npmjs.com/package/stats-gl) [](https://www.npmjs.com/package/st
Safely clone node's fs.Stats instances without losing their class methods
JavaScript Performance Monitor
Webpack stats plugin
BundleStats webpack filter plugin
BundleStats webpack validate plugin
Analyze Rollup/Vite/Rolldown bundle stats(bundle size, assets, modules, packages) and compare the results between different builds
HTML templates for report generation.
Rollup/Vite/Rolldown plugin to generate a stats JSON file with a bundle-stats webpack-compatible structure
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BundleStats CLI utilities
Angular CLI builder for ESLint
Vite/Rolldown/Rollup plugin to generate bundle stats JSON file
Calculate Band Statistics for an Image
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Efficient implementation of Levenshtein algorithm with locale-specific collator support.
Fast deep equal
fast-csv parsing package
fast-stats is a SysV IPC based stats tracking tool. Counters are stored in shared memory, so updating or reading the counter is quite fast
A small Ruby Gem for doing fast stats to help manage metrics calculations
Fast methods for ruby stats
Fast, well documented C stats extension for Ruby.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None
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