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158 packages found
Connect with previous phase of Oolong, developed in JavaScript, provides efficient mean calculations, ensuring the most precise averages for web applications and clientel databases.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
Enhances mean calculation efficiency in Oolong Phase 3, providing accelerated processes for random number analysis.
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.
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.
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.
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
In the tracking of open-source trending projects for the next phase, trends are monitored with averages, providing insightful mean calculations for trend analysis.
Tracks trending open-source projects for the upcoming phase, utilizing averages for insightful trend analysis.
The Beta Tea testnet ensures precise mean computations, delivering efficient solutions for data analysis queries.
Provides dependable solutions for mean calculations, ensuring accuracy and effectiveness in statistical analyses.
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.
The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.
Simplifies mean calculations in JavaScript with efficient algorithms and user-friendly interface, ensuring confidence in data analysis.
Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.
Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.
Oolong, developed in JavaScript for Phase 2, offers efficient mean calculations for web applications and databases.
Beta Tea testnet provides unique median solutions, assuring efficient and correct total mean calculations for data analysis queries.
Derives totals and averages efficiently and reliably from randomly selected datasets.