Open Source Python Test and Measurement Software

An open source circuit simulator for power electronics applications. The objective is to provide a platform that will enable an advanced user to simulate large systems with several converters without being an excessive burden on the CPU.

Astrophotography Lab (APLab) is a free program intended for anyone interested in astrophotography. It has two main purposes: - Interpreting data extracted from your astrophotos to produce useful information. - Using this information as a help for further improving your imaging results. The program consists of four main tools: an analyser tool, a calculator tool, a simulator tool and a plotting tool. The tools are connected, allowing you to transfer information between them, and easily go all the way from measuring your camera's sensor to finding the optimal settings for your next imaging session. APLab supports a wide range of CCD and DSLR cameras and telescopes by default, and you can easily add the necessary information for your own equipment. Check out the home page (linked to below) for more information and download links.

CDNsim is a GNU/LINUX simulation tool for CDNs, written in C++ (core) and python (GUI wizard). It models: redirection policies, cache policies, TCP/IP, batch simulations, statistics extraction and more. CDNsim is uses the OMNet++ library

PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.

In the selective laser melting process (SLM), components are built up layer by layer by incremental melting of metal powder with a laser beam. This process leads to locally inhomogeneous material properties of the manufactured components. By integrating these specific material properties of the SLM-process into a topology optimization, product developers can be supported in the design process by simulation. For this purpose, a topology optimization method is being developed which takes into account the unique material properties of parts manufactured with the SLM-process. In this homepage, the generation of a material database as well as the development of the topology optimization method is introduced and the impact on the component design is presented. SLM-Topo is a joint research project of the Institute of Product Engineering (IPEK) and the Institute for Applied Materials (IAM) of the Karlsruhe Institute for Technology (KIT) funded by the Deutsche Forschungsgemeinschaft (DFG).

TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time.

pydaqtools provides a common interface to data-acquisition hardware for Python. Control analog/digital output or acquire analog/digital input for immediate analysis with Python for scientific, educational or engineering applications.