Search Results for "framework python"
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Showing 6 open source projects for "framework python"
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TANGO is a device oriented control system for Linux and Windows. It provides a framework in C++, Java and Python for implementing distributed control objects. TANGO has a full set of tools and hundreds of device servers.
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pyhard2, control hardware from python
An object-oriented framework for the development of instrument drivers
pyhard2 is an object-oriented framework to help in the development of instrument drivers. pyhard2 is proposed as an alternative to LabVIEW. Emphasis is given on serial drivers but the framework can be used with any socket. The source also contains the implementation of a PID controller and a setpoint ramp generator. The instrument drivers may further be incorporated in a GUI, using, e.g. PyQt or PySide. Threading is automatically taken care of. Furthermore, generic GUI (called... -
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SocExplorer
SocExplorer, an open source System On Chip testing software/framework.
SocExplorer is an open source generic System On Chip testing software/framework. We write this software for the development and the validation of our instrument, the Low Frequency Receiver(LFR) for the Solar Orbiter mission. This instrument is based on an actel FPGA hosting a LEON3FT processor and some peripherals. To make it more collaborative, we use a plugin based system, the main executable is SocExplorer then all the functionality are provided by plugins. Like this everybody can provide... -
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OpenSQUID
Superconducting QUantum Interference Devices (SQUIDs) control software
OpenSQUID is a Python framework for the control of SQUID (superconducting quantum interference device) readout electronics. It currently supports the Star Cryoelectronics PCI-1000 electronics with PFL-100 and PFL-102 flux-locked loops. Simultaneous operation of both PFL-100s and PFL-102s from a single PCI-1000 is supported. More features are under development. -
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A python package that allows scientists to easily create configurable and reusable experiments. Intended for use with the LabRAD framework. Developed by the Haeffner group studying quantum simulation at UC Berkeley. Wiki at lrexp.wikispaces.com
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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.
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