Download JAR files tagged by discover with all dependencies

This plugin enables you to track and the executiontimes of a selection of Your unittests (JUnit or TestNG). One usage is to regard some of your automatic testcases as performancetests, tracking their executiontimes. Another usage is simply to monitor Your automatic tests to discover reasons for slow build times.

FScript is a scripting language dedicated to Fractal components architectural reconfigurations. It also includes FPath, a notation inspired by XPath which makes it easy to navigate inside Fractal architectures to discover its structure or find elements (components or interfaces) which match certain criterion.

"JSTUN" is a Java-based STUN (Simple Traversal of User Datagram Protocol (UDP) Through Network Address Translation (NAT)) implementation. STUN provides a mean for applications to discover the presence and type of firewalls or NATs between them and the public internet. Additionally, in presence of a NAT STUN can be used by applications to learn the public Internet Protocol (IP) address assigned to the NAT.

Rule Learner is an open source Java library for learning business rules from historical data. It supports supervised Machine Learning by incorporating well-known algorithms such as RIPPER and C4.5 provided by open source tools such as Weka. Rule Learner is implemented as a Machine Learning component of OpenRules Decision Manager. It allows business analysts to place their historical data in simple Excel tables and to automatically discover business rules that find certain pattern in this data. The generated rules are human readable and presented in Excel format executable by OpenRules Decision Manager.

This module exists solely to package all other jre modules into a single uber jar. This makes deploying to non-mavenized targets much easier. Of course, you would be wise to inherit your dependencies individually; the uber jar is intended for projects like collide, which have complex configuration, and adding many jars would be a pain. It also allows dependent modules to discover new features, as modules graduate from labs to final, they will be added here. As you type X_, autocomplete will expose newly added services.

Little Nanny is new type of Application to keep parents and their young children in touch. The idea is to reuse any old Smartphone (Android or iOS) as a high precision tracking device. After speaking with other parents, it was clear that there was a need for a really reliable App to help give children the freedom they need to explore and discover, while staying in touch with those who matter most. Little Nanny has a simple mission – to help kids be kids again, while giving parents an amazing new window into their children’s lives.

The JSP TLD Maven Plugin is used to automate the management of JSP Tag Library Descriptors as part of a Maven build. It is intended to decrease the burden on JSP developers associated with writing custom JSP Tag Libraries. The goal is to encourage JSP developers to write better JSP files by using custom JSP Tag Libraries more extensively. The Plugin can process Java annotations on Tag implementation classes and also discover Tag Files (.tag and .tagx files). The Java 5 Annotations recognized by this Plugin are all part of the <a href="../squeakysand-jsp/apidocs/com/squeakysand/jsp/tagext/annotations/package-summary.html">com.squeakysand.jsp.tagext.annotations</a> package.

The Source Analyst library is a powerful tool designed to streamline and expedite the tracking of traffic sources for mobile applications. This versatile library is aptly named "Source Analyst" and is an invaluable asset for app developers and marketers seeking to gain deeper insights into the performance of their advertising campaigns. With just one simple function call, Source Analyst empowers you to efficiently investigate the effectiveness of various advertising sources. Key Features: Effortless Tracking: Source Analyst simplifies the complex task of tracking the origins of traffic for your mobile app. No need for convoluted setups or extensive coding – one function is all it takes. Comprehensive Insights: Gain a comprehensive understanding of where your app's users are coming from. Whether it's through social media, search engines, referral links, or other channels, Source Analyst provides you with clear data on traffic sources. Performance Evaluation: Evaluate the performance of your advertising campaigns with precision. Discover which sources are driving the most valuable users to your app, helping you optimize your marketing efforts effectively. Time-Saving: Say goodbye to hours spent on manual data collection and analysis. Source Analyst automates the tracking process, freeing up your time to focus on making data-driven decisions. Customization: Tailor Source Analyst to your specific needs. Customize the library to track the metrics that matter most to your app's success. Real-time Data: Access real-time data, ensuring that you always have up-to-date insights into your traffic sources. Integration-Friendly: Seamlessly integrate Source Analyst into your existing mobile app infrastructure, whether you're developing for Android or iOS. User-Friendly: Source Analyst is designed with user-friendliness in mind. Its intuitive interface and straightforward documentation make it accessible to developers of all levels of expertise. How It Works: Using Source Analyst is as easy as calling a single function within your code. Simply integrate the library into your app, and you can begin tracking traffic sources immediately. From there, Source Analyst compiles and presents the data in a clear and organized manner, allowing you to make data-driven decisions with ease. In a world where understanding the origins of your app's traffic is essential for marketing success, Source Analyst is the go-to solution. Say goodbye to the complexity of tracking sources and embrace the simplicity and effectiveness of Source Analyst for your mobile app. Harness the power of Source Analyst and unlock a new level of insight into your app's performance today!