Search Results for "python user interface"
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Showing 5 open source projects for "python user interface"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Workspace management made easy, fast and affordable.The way we work has changed and Clearooms puts you in complete control of your hybrid workspace. Both meeting rooms and hot desk booking can be easily managed to ensure flexible and safe working, however big or small your organisation.
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SerialToFS
Program handling file operations when interfacing embedded system.
Program handling file operations when interfacing embedded system by serial port. Main intention for creation of this program was getting files with code coverage out of the embedded system memory. -
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The Automatic JUnit Creation Tool analyzes java classes to map all possible test branches. The tool then guides users through the generation of a JUnit test.
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Covered is a Verilog code coverage utility using VCD/LXT/FST dumpfiles (or VPI interface) and the design to generate line, toggle, memory, combinational logic, FSM state/arc and assertion coverage report metrics viewable via GUI or ASCII format. This project is ported to github and can be found at: https://github.com/chiphackers/covered
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Javelina is an advanced code coverage tool that uses dynamic instrumentation to minimize the overhead for collecting coverage data. Additionally, Javelina allows the application of logical operations to code coverage data.
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IT Asset Management (ITAM) SoftwareDrowning in misplaced IT assets, compliance headaches, and shadow IT? Navigate to clarity with an intuitive IT Asset Management solution. Experience crisp visibility, effortless control, and unshakable security – all while freeing up your budget with optimized software licenses. The best part? It’s easy.
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A set of scripts, based around doctest, for performing regression testing & code coverage analysis on Python modules.
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