Showing 4 open source projects for "visual basic"

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    E-commerce Fulfillment For Scaling Brands

    Ecommerce and omnichannel brands seeking scalable fulfillment solutions that integrate with popular sales channels

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    SMC - The State Machine Compiler

    SMC - The State Machine Compiler

    Translates state machine into a target programming language.

    SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info.
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    Downloads: 31 This Week
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  • 2
    JLite

    JLite

    Lightweight IDE for Java

    Lightweight IDE for Java targeting mostly students who are beginning Java programming. Create Java Application, Compile & Run Projects, Build Executable Jar Applications. It requires: 1. Java SDK 1.8 or higher 2. Dotnet Framework 2.0
    Downloads: 1 This Week
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  • 3
    Jabaco is a simple Visual Basic like programming language for the Java Virtual Machine. A comfortable development environment will support you in your tasks. Visit the Webcast and see Jabaco in action: http://www.jabaco.org/webcast.html
    Downloads: 1 This Week
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  • 4
    Peet is a back-end .NET compiler for the SXM software transactional memory (STM) package (available from Microsoft Research). It makes concurrent programming with an STM library easier and more efficient.
    Downloads: 0 This Week
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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