FísicaLab is an educational application to solve physics problems. The problems are set up by adding elements from the palette to a chalkboard and entering the data for each element. The elements are objects such as blocks, pulleys, motors, and forces. It can use the SI and English unit systems, scientific notation, and many conversion factors. The types of problems that can be solved are kinematics of particles (including circular motion), static analysis of particles and rigid bodies in 2D, dynamic analysis of particles in 2D (excluding the dynamics of circular motion), heat, calorimetry, ideal gas, and expansion. The static and dynamic problems are entered by constructing the free body diagrams of the objects.
QP is a family of lightweight software frameworks for building responsive and modular real-time embedded applications as systems of cooperating, event-driven active objects (actors). The QP family consists of QP/C, QP/C++, and QP-nano frameworks, which are all strictly quality controlled, superbly documented, and commercially licensable. The behavior of active objects is specified in QP by means of hierarchical state machines (UML statecharts). The frameworks support manual coding of UML state machines in C or C++ as well as automatic code generation by means of the free QM modeling tool. All QP frameworks can run on bare-metal MCUs, completely replacing a traditional RTOS. Ports and ready-to-use examples are provided for all major CPUs, such as ARM Cortex-M, ARM7/9, MSP430, C28x, C55x, RX, R8C, AVR32, AVRMega, PIC24/dsPIC, as well as Arduino and mbed. QP/C and QP/C++ can also work with a traditional OS/RTOS, such as: POSIX (Linux, QNX), Windows, VxWorks, ThreadX, and uC/OS.
Task Coach is a simple todo manager to manage personal tasks and todo lists. It grew out of a frustration that well-known task managers, such as those provided with Outlook or Lotus Notes, do not provide facilities for composite tasks. Often, tasks and other things to do consist of several activities. Task Coach is designed to deal with composite tasks.
Drupal is a modular content management system, forum, blogging and community engine. It is database driven and can be used with MySQL, MariaDB, PostgreSQL, and SQLite. Its features include (but are not limited to) discussion forums, Web-based administration, theme support, a submission queue, content rating, content versioning, taxonomy support, user management with a fine-grained permission system based on user roles (groups), error logging, support for content syndication, locale support, and much more. It is considered to be an excellent platform for developers due to its clean code and extensibility, and it can also be used as a Web application framework.
The Eventual PlayFramework-AngularJS-Bootstrap-MongoDB Seed Project is a seed project that provides a CRUD implementation. It uses the Play Framework and MongoDB on the backend, and AngularJS and Bootstrap on the front-end. It is designed to underpin the development of future applications that adopt the same combination of technologies.
Amun is a content management framework based on the PSX framework. The goal is to build a more federated and programmable Web. This is achieved by providing a RESTful API for managing and distributing the content in standard formats like JSON, XML, Atom, and RSS. It tries to support open standards like OAuth, OpenID, etc., and gives you the freedom to access the data of a Website in the way you like. It tries to enable easy communication from server to server, browser to server, and application to server.
jGnash is a personal finance application written in Java. Java 7 is required. jGnash supports several account types, including investment accounts. It has support for split transactions, nested accounts, scheduled transactions, commodities, and currencies. It can import OFX and QIF files, excluding investment accounts and transactions. Data is stored in an XML format so it is easy to manipulate and read the data external to the program. jGnash also has scripting support to add custom reports and functionality.
UniModeling is a big data analytics tool for unified modeling and reasoning in outdoor and indoor spaces. It supports the construction of unified graph models of outdoor and indoor spaces and RFID deployments in these spaces. It enables probabilistic incorporation of RFID data, facilitating the tracking of moving objects and enables the search for them to be optimized. Also included are three reasoning applications that pertain to the positioning of RFID readers in outdoor and indoor spaces and the points of potential traffic (over)load in these spaces.