Search Results for "tiny-core-plus"

Fast, flexible & lean implementation of core jQuery designed specifically for the server. Cheerio implements a subset of core jQuery. Cheerio removes all the DOM inconsistencies and browser cruft from the jQuery library, revealing its truly gorgeous API. Cheerio works with a very simple, consistent DOM model. As a result parsing, manipulating, and rendering are incredibly efficient.

This library is a 1 to 1 mapping of the Redis commands. Each Redis command is exposed as a function on the client object. All functions take either an args Array plus optional callback Function or a variable number of individual arguments followed by an optional callback. Node Redis currently doesn't natively support promises (this is coming in v4), however you can wrap the methods you want to use with promises using the built-in Node.js util.promisify method on Node.js >= v8. Care should be taken with user input if arrays are possible (via body-parser, query string or other method), as single arguments could be unintentionally interpreted as multiple args. ...

A Rapid PHP Application Development Environment designed for webmasters, developers, and hosts to enforce website uniformity, hardening, and light weight enough to function within shared hosting, in the presence of other scripts, and nested within itself.

Naam Tamilar RTMP Server This project updated as open source for future use of Naam Tamilar Political Party. To contribute to the party and in some case if there is any possibilities if i cannot support them for long term. I thought of sharing this source code so in future it may be helpful for the community and party in which other software developers can help them to upgrade. This source is forked from - https://github.com/arut/nginx-rtmp-module and modified with multiple broadcast...

AIS is an Development Platform providing a high-speed JIT compiler for LISP and JavaScript, web server, object repositories, MySQL integration and libraries supporting a wide variety of advanced genetic programming and symbolic regression techniques.