Results for dom-input-range

Range-like API for input and textarea contents

render domhandler DOM nodes to a string

React component for inputting numeric values within a range

Normalize unicode-range descriptors, and can convert to wildcard ranges.

TypeScript definitions for base-64

React component wrapper for range-slider-input

A per-spec XML serializer implementation

Fill in a range of numbers or letters, optionally passing an increment or `step` to use, or create a regex-compatible range with `options.toRegex`

Serializes a document's DOM into a DOM string suitable for re-rendering.

Range header field string parser

TypeScript definitions for range-parser

Pass two numbers, get a regex-compatible source string for matching ranges. Validated against more than 2.78 million test assertions.

Style range inputs with unprefixed pseudo-classes

a glob matcher in javascript

Utility for normalizing a numeric range, with a wrapping function useful for polar coordinates

JavaScript parser, mangler/compressor and beautifier toolkit

hast utility to create a tree from the DOM

Takes a string, such as "1,2,3-10,5-8" and turns it into an array of numbers

A styled HTML range input

Parse and compile gettext po and mo files to/from json, nothing more, nothing less

Common get-version-range-type shared between changeset packages

The Material Components for the web slider component

implement correct ranges for level-*

React input component

Arachni is a feature-full, modular, high-performance Ruby framework aimed towards helping penetration testers and administrators evaluate the security of web applications. It is smart, it trains itself by monitoring and learning from the web application's behavior during the scan process and is able to perform meta-analysis using a number of factors in order to correctly assess the trustworthiness of results and intelligently identify (or avoid) false-positives. Unlike other scanners, it takes into account the dynamic nature of web applications, can detect changes caused while travelling through the paths of a web application’s cyclomatic complexity and is able to adjust itself accordingly. This way, attack/input vectors that would otherwise be undetectable by non-humans can be handled seamlessly. Moreover, due to its integrated browser environment, it can also audit and inspect client-side code, as well as support highly complicated web applications which make heavy use of technologies such as JavaScript, HTML5, DOM manipulation and AJAX. Finally, it is versatile enough to cover a great deal of use cases, ranging from a simple command line scanner utility, to a global high performance grid of scanners, to a Ruby library allowing for scripted audits, to a multi-user multi-scan web collaboration platform.