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An open source collection of design principles and methods.
The easiest way to observe values in Swift.
Fast computation of Krippendorff's alpha agreement measure in Python.
Recursively merge values in a JavaScript object.
ES2017 spec-compliant shim for Object.values
A CSS property value parser for PostCSS
ES2017 spec-compliant shim for Object.entries
Awesome Comma-Separated Values (CSV) - What's Next? - Frequently Asked Questions (F.A.Q.s) - Libraries & Tools
Returns an array with only the unique values from all given arrays using strict equality for comparisons.
Iterate over the enumerable properties of an object, and return an object with properties that evaluate to true from the callback. Exit early by returning `false`.
Convert an array to a csv formatted string
This Helm plugin allows you to substitute the environment variables specified in your helm values file with their respective values in the environment from within a CICD pipeline.
Machine Learning scripts for the identification of human values behind arguments.
Guiding principles that serve as a blueprint for decision-making when developing and designing products at Audiense
Returns an array of mapped values from an array or object.
Similar to map for arrays, this creates a new object by calling the callback on each property of the original object.
Useful functions to use with array of objects.
Extract and set form values through the DOM—no frameworks required!
Convert a csv formatted string to an array
Our scientific ethos, our scientific community at the Institute of Philosophy at the University of Stuttgart
Helm plugin to merge one or more YAML files of values
Sort an array of objects by property value.
A list of curated values and ideas to maintain a motivating and positive culture.
🎓 JS Bootcamp · 2018-2019 · Curriculum and Syllabus
Ethical values and IEEE 7000 meet agile practices
Deeply resolve promises in a value, including all properties of an object.
i18next editor - Edit your json language files
A simple PHP script for encoding and decoding images using numerical values.
Diabetes prediction V2.0 -This VB6 application takes glycemic values and tries to predict the future state of the patient. First, it converts a sequence of numbers into states. The states are arranged in a transition matrix and the transition probabilities are calculated for each element. The transition matrix is further used for a predictions.