npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

statlib

v1.3.1

Published

## Description Lightweight, zero dependency package aimed to handle statistics found at a college introductory level.<br> It can compute the following

Downloads

1,755

Readme

Statlib

Description

Lightweight, zero dependency package aimed to handle statistics found at a college introductory level. It can compute the following

Descriptive statistics

  • min
  • max
  • range
  • quartile
  • median
  • IQR
  • sum
  • mean
  • variance (sample and population)
  • standard deviation (sample and population)
  • coefficient of variation
  • skewness

Probability Distributions

  • uniform: pdf, cdf, inverse/quantile
  • normal: pdf, cdf, inverse/quantile
  • binomial: pdf, cdf, inverse/quantile
  • T: pdf, cdf, inverse/quantile
  • chi-squared: pdf, cdf
  • F: pdf, cdf
  • poisson: pdf, cdf
  • geometric: pdf, cdf

Correlation and Regression

  • pearson correlation

Hypothesis Testing

  • z test
  • 2 sample z test
  • 1 proportion z test
  • 2 proportion z test
  • t test
  • 2 sample t test
  • χ2 test
  • χ2 goodness of fit
  • linear regression t test
  • 2 sample f test
  • ANOVA

Confidence Intervals

  • z interval
  • t interval
  • 2 sample z interval
  • 2 sample t interval
  • one proportion z interval
  • two proportion z interval

RNG

  • random uniform
  • random normal
  • random binomial
  • random poisson

Basic Matrix Operation

  • matrix multiplication
  • transpose
  • inverse

Miscellaneous Helpers

  • factorial
  • choose
  • gamma function
  • gammaln function
  • regularized gamma function
  • lower incomplete gamma function
  • upper incomplete gamma function
  • error function
  • inverse error function
  • beta function
  • incomplete beta function
  • incomplete beta inverse function
  • regularized incomplete beta function
  • regularized incomplete beta inverse function
  • pochhammer