Url highlight vs visit

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Url highlight		visit
	Project
-	Mentions	2
91	Stars	383
-	Growth	0.3%
4.2	Activity	2.5
5 months ago	Latest Commit	23 days ago
PHP	Language	PHP
MIT License	License	-

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Url highlight

Posts with mentions or reviews of Url highlight. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Url highlight yet.
Tracking mentions began in Dec 2020.

visit

Posts with mentions or reviews of visit. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning visit yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Url highlight and visit you can also consider the following projects:

Russian metaphone phonetic algorithm implementation for PHP - Russian metaphone algorithm implementation

Opis String - Multibyte strings as objects

Regex - A sane interface for php's built in preg_* functions

url-signer - Create and validate signed URLs with a limited lifetime

PHP Domain Parser - Public Suffix List based domain parsing implemented in PHP

Uri - [READ-ONLY] URI manipulation Library

uuid - Generate RFC-compliant UUIDs in JavaScript

ANSI to HTML5 - An ANSI to HTML5 converter

sabre/uri - :earth_asia: Functions for making sense out of URIs in PHP

Portable ASCII - 🔡 Portable ASCII library - performance optimized (ascii) string functions for PHP.

Hoa String

Device Detector - The Universal Device Detection library will parse any User Agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model.