Showing 2 open source projects for "complex"

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  • Patching and Endpoint Management for Under $1/Endpoint Icon
    Patching and Endpoint Management for Under $1/Endpoint

    OS and third-party patching, vulnerability insights, and remote control included

    Splashtop AEM gives IT teams automated patching, monitoring, and unattended remote access for Windows and macOS. No long setup, no paying extra for key features.
    Start Free Trial
  • Paessler: Easy to Use With Enterprise Power. Free Trial Icon
    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

    You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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  • 1
    MAXsi POS

    MAXsi POS

    Simple Android POS for retail SMEs to manage sales, stock, and reports

    ...It supports both cash and cashless transactions, daily and monthly sales summaries, and basic profit and loss reporting. MAXsi POS is optimized for real-world retail workflows, making it easy to use for cashiers and business owners without requiring complex setup or technical expertise. While primarily designed for Indonesian SMEs, its lightweight design and intuitive interface also make it suitable for users in other growing markets.
    Downloads: 1 This Week
    Last Update:
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  • 2
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.
    Downloads: 0 This Week
    Last Update:
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