Search Results for "java spam detection"

RIBs is the cross-platform architecture framework behind many mobile apps at Uber. The name RIBs is short for Router, Interactor and Builder, which are core components of this architecture. This framework is designed for mobile apps with a large number of engineers and nested states. Shared architecture across iOS and Android. Build cross-platform apps that have similar architecture, enabling iOS and Android teams to cross-review business logic code. Testability and Isolation. Classes must...

Booster is an easy-to-use, lightweight, powerful and extensible quality optimization toolkit designed specially for mobile applications. The primary goal is to solve quality problems with the increase of APP complexity, such as performance, stability, and package size, etc. Booster provides a collection of modules for performance detection, multithreading optimization, resources index inline, redundant resources reduction, resources compression, system bug fixing, etc. Using booster, the...

Fall in love with texting all over again with QKSMS! QKSMS is a beautiful, simple and customizable open source replacement to the stock messaging app on Android. It's got a clean, clutter-free intuitive design that lets you focus on what matters, plus millions of colors to choose from to make the theme of the entire app truly your own. QKSMS has some powerful features, including photo sharing, group chat, conversation blocking, message backup and restore and more. It's got everything you...

Nicknamed as the "Smartphone Version of Backtrack", Revenssis Penetration Suite is a set of all the useful types of tools used in Computer and Web Application security. Tools available in it include: Web App scanners, Encode/Decode & Hashing tools, Vulnerability Research Lab, Forensics Lab, plus the must-have utilities (Shell, SSH, DNS/WHOIS Lookup, Traceroute, Port Scanner, Spam DB Lookup, Netstat... etc). All these fitting in an application approx. 10MB (post installation).

Android App that detects when the device is moved after inactivity, and gives user some feedback based on events (missed calls, text messages, emails). After first feedback, user can shake the device and receive more detailed notifications.