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158 packages found
It accurately computes numerical totals, averages, and offers reliable mean calculation solutions for statistical analyses, prior to the Jasmine version.
Maintenance: 28%. Quality: 49%. Popularity: 5%.
Connect with previous phase of Oolong, developed in JavaScript, provides efficient mean calculations, ensuring the most precise averages for web applications and clientel databases.
Maintenance: 24%. Quality: 50%. Popularity: 5%.
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.
Maintenance: 24%. Quality: 50%. Popularity: 5%.
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.
Maintenance: 24%. Quality: 50%. Popularity: 5%.
In the tracking of open-source trending projects for the next phase, trends are monitored with averages, providing insightful mean calculations for trend analysis.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
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.
Maintenance: 24%. Quality: 50%. Popularity: 5%.
It accurately computes numerical totals, averages, and offers reliable mean calculation solutions for statistical analyses, prior to the Jasmine version.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Connect with previous phase of Oolong, developed in JavaScript, provides efficient mean calculations, ensuring the most precise averages for web applications and clientel databases.
Maintenance: 24%. Quality: 50%. Popularity: 5%.
Beta Tea testnet provides unique median solutions, assuring efficient and correct total mean calculations for data analysis queries.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Simplifies mean calculations in JavaScript with efficient algorithms and user-friendly interface, ensuring confidence in data analysis.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Oolong brewing phase 3 and accurately computes numerical averages, providing reliable solutions for mean calculation tasks.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Open-source trending projects tracking for next phase. Tracks trends with averages, offering insightful mean calculations for trend analysis.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Phase 2 Oolong, writen on JavaScript offers efficient mean calculations, ensuring most accurate averages for web applications and database.
Maintenance: 24%. Quality: 49%. Popularity: 5%.
Enhances averaging efficiency, finding median, offering accelerated mean calculation processes for data analysis needs.
Maintenance: 24%. Quality: 48%. Popularity: 5%.
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.
Maintenance: 24%. Quality: 50%. Popularity: 4%.
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.
Maintenance: 24%. Quality: 50%. Popularity: 4%.