Search Results for "data capture framework"
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Showing 6 open source projects for "data capture framework"
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mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.
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opensniffer
Zero copy MMAP linux network drivers
Optimized open source 1G/10G sniffer library to get network data from network adapter without loss on high data rates. Come back soon to get new features. -
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RubyMoss is a Web - Based Framework written with Ruby on Rails, intended to support all analysis and data processing for Mossbauer Spectroscopy. Written under BSD License.
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Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.
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GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.
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The LuSeismo project provides modules for the Earthworm project to capture analog seismometer data w/linux. The project also provides GUI interfaces used in the Loyola Physics Department for several labs, utilizing these seismometers as educational tools
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