Download JAR files tagged by matter with all dependencies

The dark-matter Model View Whatever (MVW) project provides Domain Specific Language (DSL) concepts that allow you to model and generate much of the code required to follow Google Web Toolkit (GWT) best practices for building complex web applications.

Scala Maybe. Inspired by Lift's Box, Haskell's Maybe and Scala's Option. A few noteable characteristics: * `Maybe()` is a polymorphich constructor that Does The Right Thing, no matter the input. * `get` is only provided for a `Just` value, not in the general `Maybe` API. * `map` on a `Just` Does The Right Thing, even if the calling function explodes.

THIS LIBRARY IS PROVIDED WITH NO WARRANTY OR GUARANTEE OF ANY KIND, TO BE USED FOR DEVELOPMENT AND EXAMPLE PURPOSES ONLY. THIS LIBRARY SHOULD NOT BE USED IN A PRODUCTION APPLICATION. This library contains the JNI JAR and SO artifacts (all architectures) from the Matter SDK (https://github.com/project-chip/connectedhomeip) Android CHIP Tool examples to be used in the development and testing of Android Matter controller applications such as GHSAFM.

GroupDocs.Conversion is an online document conversion app that lets you convert documents in your browser. With GroupDocs.Conversion, it doesn’t matter if you have the application that the document was created with: simply convert it to a format you can work with. Converted documents retain the layout and look of the original. With GroupDocs.Conversion, you perform online document conversion. Convert many types of word processing documents (DOC, DOCX, TXT, RTF, ODT), presentations (PPT, PPTX), spreadsheets (XLS, XLSX), portable files (PDF), and image files (JPG, BMP, GIF, TIFF) to other file formats. For example, convert TIFF images to document friendly BMP format, or internet ready PNG format. Or convert open document files, ODT, to Microsoft Word document formats like DOC and DOCX. You can even convert Microsoft PowerPoint presentations from PTT or PPTX to portable PDF documents. From one file to hundreds, online document conversion with GroupDocs.Conversion is fast and easy.

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.

OpenCL4Java is a thin Java wrapper around OpenCL's C API. It uses JNA as its interop layer library, which means it works on all of the (many) JNA-supported platforms (see http://jna.dev.java.net/). It is autogenerated by JNAerator (http://jnaerator.googlecode.com/), so updates to newer OpenCL specs are a matter of seconds. Note that OpenCL4Java is used by JavaCL, an Object-Oriented API that presents OpenCL in a much more practical, powerful and idiomatic way to Java. For more info, please visit http://code.google.com/p/nativelibs4java/wiki/OpenCL.

OpenCL4Java is a thin Java wrapper around OpenCL's C API. It uses JNA as its interop layer library, which means it works on all of the (many) JNA-supported platforms (see http://jna.dev.java.net/). It is autogenerated by JNAerator (http://jnaerator.googlecode.com/), so updates to newer OpenCL specs are a matter of seconds. Note that OpenCL4Java is used by JavaCL, an Object-Oriented API that presents OpenCL in a much more practical, powerful and idiomatic way to Java. For more info, please visit http://code.google.com/p/nativelibs4java/wiki/OpenCL.

YET ANOTHER IMPLEMENTATION OF LEVENSHTEIN DISTANCE GenericLevenshtein is an implementation of Minimum Edit Distance, also called Levenshtein Distance, written by Ramon Ziai and Niels Ott. This algorithm is very popular and it is often used to compute the similarity of strings. The difference in the presented implementation is that it can operate on sequences of any Java object implementing equals(Object). So no matter if you want to compare genome sequences or sequences of numbers, or just strings, here you go! Furthermore, the costs of the replace, insert, and delete operations can be customized by implementing the simple WeightCalculator<T> interface. In that case it is not a requirement to rely on equals(Object) as your implementation can do whatever you like it to do in oder to compare objects.

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!