Peludo is a system that provides a toolchain and a runtime to create and launch self-contained, platform independent, injectable, network transportable, non-static applications that can be dynamically extended on-demand. From a security assessment perspective, it could be seen as a tool to create advanced payloads: entire libraries and multithreading programs can be deployed over the network without touching the target file system.
The Language Detection Library for Java is a Java library to detect the natural languages in which texts are written. This task is also known as "language identification", "language guessing", and "language recognition". It has over 99% precision for more than 40 languages. The supported languages are Afrikaans, Arabic, Bulgarian, Bengali, Czech, German, Greek, English, Spanish, Persian, Finnish, French, Gujarati, Hebrew, Hindi, Croatian, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Macedonian, Malayalam, Marathi, Nepali, Dutch, Punjabi, Polish, Portuguese, Romanian, Russian, Slovak, Somali, Albanian, Swedish, Swahili, Tamil, Telugu, Thai, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, and Simplified/Traditional Chinese.
AppInfo is a small library that provides an easy way to show always valid, automatically updated information about a version of running software in your Web or desktop Java application. It is especially useful with automatic builds from CI server deployed on QA. It currently supports displaying the name, version, build number, and build date of running software. This information is available as text from end application and can be customized to fit your needs. Source information can be passed via environment variables and works out-of-box with Hudson CI server.
GA4PHP is a class for PHP that allows a coder to provide a method for allowing two-factor authentication for users. Primarily focused on the Google authenticator for iOS, Blackberry, and Android, the system can also support hardware and software tokens based on the TOTP and HOTP standards. The system is designed such that a programmer would simply extend the PHP class to provide storage for the token data.
Boar provides simple version control and backup for photos, videos, and other binary files. Boar aims to be the perfect way to make sure your most important digital information, like pictures, movies, and documents, is stored safely. It makes it possible for you to restore any or all of your files from any point in time. It makes it easy to maintain verified backups of your data, including file history. It imposes no limits on file or repository sizes. Using boar is an effective way to prevent data loss due to human or machine error.
The Exquisite `df' (xdf) is a souped-up version of df(1) rewritten from scratch and focused on flexibility of field selection and output format. It offers HTML and CSV outputs, besides the traditional text-based console output. It is fit for system administrators who are tired of post-processing df(1) output through shell or Perl scripts in order to avoid broken lines or to get a simple total/summary line.
RepoGuard is an advanced validation framework with built-in integrations for several common version control systems. The integration is carried out by utilizing the hook mechanisms each version control system provides. The user may provide configurations that are processed through inversion of control mechanisms. RepoGuard is completely written in the Python programming language, which allows for easy integration of other tools. An extensible command line tool for advanced usage is provided, which allows for comfortable administration.
The Chameleon Problem Solving Environment is based on the CPACS data format and allows third party application coupling for multidisciplinary simulation. It comprises a set of libraries and integration components for the commercial integration environment ModelCenter or the open source alternative RCE (http://www.rcenvironment.de/). It was initially developed from the German Aerospace Center (DLR).
CRest (Client REST) is a lightweight library that simplifies the integration of third party RESTful services into Java applications. CRest is mainly annotation-driven, allowing the developer to focus on the essential aspects of the integration of a REST service, such as the definition of the Java interface that maps the remote REST methods and the data model the interface will deal with. The rest is achieved by annotating a plain Java interface with the relevant information such as the service end-point, the desired timeouts, URL formats, etc. CRest will handle everything else, including HTTP request generation, auto marshalling of the response, and more.