Showing 2 open source projects for "source code claude code"

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  • Jesta I.S. | Enterprise Software For Retail and Supply Chain Icon
    Jesta I.S. | Enterprise Software For Retail and Supply Chain

    Transition from fragmented entry-level or legacy systems to an enterprise suite.

    Unify your people and operations across all departments and channels. Discover end-to-end retail, wholesale, and supply chain management software suites designed to scale.
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  • The only CRM built for B2C Icon
    The only CRM built for B2C

    Stop chasing transactions. Klaviyo turns customers into diehard fans—obsessed with your products, devoted to your brand, fueling your growth.

    Klaviyo unifies your customer profiles by capturing every event, and then lets you orchestrate your email marketing, SMS marketing, push notifications, WhatsApp, and RCS campaigns in one place. Klaviyo AI helps you build audiences, write copy, and optimize — so you can always send the right message at the right time, automatically. With real-time attribution and insights, you'll be able to make smarter, faster decisions that drive ROI.
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    TimerOutputs.jl

    TimerOutputs.jl

    Formatted output of timed sections in Julia

    TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs.
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  • 2
    LoopVectorization.jl

    LoopVectorization.jl

    Macro(s) for vectorizing loops

    LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning.
    Downloads: 0 This Week
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