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Showing 5 open source projects for "ide python rad"

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  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • 1
    WaveMaker - Web Development Made Easy
    Easy-to-use, open source web development platform. Visual, drag and drop tools allow anyone to create web apps with minimal learning curve. Java architecture: Spring, Hibernate, Ajax Dojo toolkit, MySQL, PostgreSQL, HSQLDB (bundles w HSQLDB)
    6 Reviews
    Downloads: 0 This Week
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  • 2
    Modular python IDE with integrated GUI designer and many plugins.
    Downloads: 0 This Week
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  • 3
    GUIE (GUI Editor) provides a simple WYSIWYG GUI editor for many dynamic languages. Currently FarPy supports wxPython, wxRuby, wxPerl & IronPython!
    1 Review
    Downloads: 0 This Week
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  • 4
    The PyQt4D (Python Qt for Designer) is an Open Source Project making Qt Designer full-featured RAD (Rapid Application Development) tool to develop data-aware two- or multi-tier applications using Python language and Qt library.
    1 Review
    Downloads: 0 This Week
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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  • 5
    An environment (library + IDE) that emulates Delphi but uses python as the programming language and wxPython as the graphical API. Starting with the library, we have a set of modules/classes that emulates the units/classes of the famous VCL.
    Downloads: 0 This Week
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