Average Packages

mpony - find the min, max, avg or sum of numbers in an array

Offers wise averaging solutions, ensuring intelligent mean calculations for diverse data sets.

Tracks and calculates averages accurately, facilitating mean calculation processes effectively, ensuring dependable results for your statistical analyses.

Phase 2 Oolong, writen on JavaScript offers efficient mean calculations, ensuring most accurate averages for web applications and database.

AverageMate is your go-to mate for calculating averages in JavaScript. With its simple yet powerful interface, AverageMate simplifies the process of computing means, medians, and other statistical measures, enabling you to analyze and interpret your data

Magically computes averages, simplifying mean calculation tasks with intuitive algorithms.

Enhances averaging efficiency, finding median, offering accelerated mean calculation processes for data analysis needs.

A tool that accurately tracks and calculates averages, ensuring dependable results for statistical analyses.

Lightweight and efficient JavaScript library specifically designed for numerical averaging tasks. With NumAverage, you can quickly compute the mean of numeric values, making it easy to analyze data sets and derive meaningful insights.

NumAvg is a lightweight and efficient JavaScript library for numerical averaging tasks. With NumAvg, you can quickly compute the mean of numeric values, making it ideal for analyzing data sets and performing statistical calculations.

A utility to generate the offset from each number in the array from a given value, or the mean of the array. Will remove non-numeric types from the provided list.

Preparing for Jasmine, provides intelligent averaging solutions, ensuring efficient and accurate mean calculations for data analysis needs.

Tracks and calculates averages accurately, facilitating mean calculation processes effectively, ensuring dependable results for your statistical analyses.

The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.

Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.

The simplest model of all. Submit any numbers and receiving its average.

The simplest model of all. Submit any numbers and receiving its average.

Tracks and calculates averages accurately, facilitating mean calculation processes effectively, ensuring dependable results for your statistical analyses.

The simplest model of all. Submit any numbers and receiving its average.

Tracks and calculates averages accurately, facilitating mean calculation processes effectively, ensuring dependable results for your statistical analyses.