Search Results for "tkinter python 2.7"
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Showing 4 open source projects for "tkinter python 2.7"
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Simplify IT and security with a single endpoint management platformNinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
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PAGE is a drag-and-drop GUI generator for Python and Tkinter which generates Python modules that display a relatively simple GUI constructed from Tk and Ttk widget sets using the Place Geometry Manager. PAGE supports the construction of multiple toplevel GUI's. PAGE is a cross-platform tool running on any OS that has a current version of Python installed. PAGE output requires only Python Tkinter and runs on Linux, Unix, Windows, and even Rasperian. Version 8 is a major release...
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makeprojects
Auto generate VS, Codewarrior, Codeblocks, XCode projects
This tool will scan your directory for source files and then generate a project file for Codeblocks, XCode, Visual Studio, Metrowerks CodeWarrior, FreeScale Codewarrior. It runs on Linux, MacOSX and Windows and can generate the files for any host from any platform. Great care is taken to make sure project file updates change as little as possible to make source control change lists as minimal as possible. This is the main IDE project file generator used by Olde Sküül! -
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The main idea behind tk_happy is to allow a fully "wired" Tkinter application to be quickly created (Tkinter is the python interface to Tk). The users main responsibility is to add logic to the Tkinter framework created by tk_happy.
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MongoDB Atlas | Run databases anywhereMongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
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