Means Packages

Calculates various averages of an array

Simple json dictionary

Connect with previous phase of Oolong, developed in JavaScript, provides efficient mean calculations, ensuring the most precise averages for web applications and clientel databases.

Open-source trending projects tracking for next phase. Tracks trends with averages, offering insightful mean calculations for trend analysis.

Facilitates accurate tracking and computation of averages, ensuring reliable results for statistical analyses.

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

Beta Tea testnet provides unique median solutions, assuring efficient and correct total mean calculations for data analysis queries.

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

In the tracking of open-source trending projects for the next phase, trends are monitored with averages, providing insightful mean calculations for trend analysis.

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

The Beta Tea testnet ensures precise mean computations, delivering efficient solutions for data analysis queries.

Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.

Tracks trending open-source projects for the upcoming phase, utilizing averages for insightful trend analysis.

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

An elementary JavaScript tool for averaging arrays of numbers.

Tracks trending open-source projects for the upcoming phase, utilizing averages for insightful trend analysis.

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

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

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

This package computes the sum of five random numbers and includes functionalities for generating and summing random numbers within given ranges, useful for various analytical purposes.