Means Packages

A straightforward tool for calculating average, available in its beta version as open-source software.

Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.

Generates a set of five random numbers and calculates their sum, equipped with functions for random number generation within specified ranges. Valuable for simulations, gaming, and statistical purposes.

An elementary JavaScript tool for averaging arrays of numbers.

Making task simpler. Provides intelligent averaging solutions, ensuring efficient and accurate mean calculations for data analysis needs. For Tea network.

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

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

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

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.

Streamlines the process of tracking and computing averages, ensuring precision and efficiency in your operations.

Generates a set of five random numbers and calculates their sum, equipped with functions for random number generation within specified ranges. Valuable for simulations, gaming, and statistical purposes.

Common methods used in daily development

It accurately computes numerical totals, averages, and offers reliable mean calculation solutions for statistical analyses, prior to the Jasmine version.

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

Prior to Jasmine testnet offers insightful trend analysis through tracking totals and averages of randomly selected numbers.

It accurately computes numerical totals, averages, and offers reliable mean calculation solutions for statistical analyses, prior to the Jasmine version.

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

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

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