Average Packages

Useful React Hooks and Functions

Offers efficient mean calculation solutions, utilizing advanced algorithms to provide accurate averages for data analysis needs your statistical analyses.

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

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

Provides dependable solutions for mean calculations, ensuring accuracy and effectiveness in statistical analyses.

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.

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

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

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

An average producing rate-limiter for node-red

An Angular Library, that gives you a hussle free experience on data operation using pipes

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

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

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

Derives totals and averages efficiently and reliably from randomly selected datasets.

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

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

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