Pythonect is an experimental general-purpose dataflow programming language based on Python. It provides both a visual programming language and a text-based scripting language. The text-based scripting language aims to combine the quick and intuitive feel of shell scripting with the power of Python. The visual programming language is based on the idea of a diagram with “boxes and arrows”.
NumaTOP is an observation tool for runtime memory locality characterization and analysis of processes and threads running on a NUMA system. It helps the user characterize the NUMA behavior of processes and threads and identify where the NUMA-related performance bottlenecks reside. It uses Intel performance counter sampling technologies and associates the performance data with system runtime information to provide realtime analysis for production systems.
Adianti Framework provides an architecture for developing PHP applications, reducing development costs, and helping developers write less code. It is a component-based and event-driven framework which uses commonly-known enterprise design patterns like MVC (Model View Controller), Front Controller, and ORM (Object-Relational Mapping) design patterns like Active Record and Repository. It provides two different widget toolkits, one for Web applications (HTML/CSS) and another for graphical applications (with a Graphical User Interface) which uses Gtk internally. The developer can write one set of code, and it can run in a Web environment and also as a graphical application.
Mokka (MOtion Kinematics and Kinetics Analyzer) is a software solution for analyzing biomechanical data. It reads and writes C3D files and many other file formats, and allows you to visualize marker trajectories in 2D and 3D, and force platforms, segments, joint angles, forces, moments, and analog signals like EMGs.
Biomechanical ToolKit (BTK) is a cross-platform library for biomechanical analysis. It can read and write a large variety of file formats used in biomechanics, and can modify them. All these operations can be done with the C++ API or with the wrappers included (Python, Octave, and Matlab). The goal of this project is to help the community share data without the restriction of the file format or the biomecanical model provided by the manufacturer of the acquisition system.