Open Source Mobile Operating Systems Data Management Systems

Data Management Systems for Mobile Operating Systems

Browse free open source Data Management systems and projects for Mobile Operating Systems below. Use the toggles on the left to filter open source Data Management systems by OS, license, language, programming language, and project status.

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  • 1
    Beigesoft Enterprise Information System

    Beigesoft Enterprise Information System

    JEE based Accounting web-application.

    Beigesoft™ EIS is free accounting software. This is JEE-WEB-based software that works anywhere - on MS Windows, Mac, Linux and Android. This is the first version of the successor to Beige Accounting All In One. The main goal was successfully achieved, it works noticeably faster on weak devices such as a smartphone than its predecessor. It works as: * Standalone A-Jetty web-app for standard Java (Ms Windows, Mac, Nix...). * Standalone A-Jetty web-app for Android (use "Beigesoft Enterprise Information System" to find it in Google Play Store or https://play.google.com/store/apps/details?id=org.beigesoft.accandr). * Standard JEE web-application on any JEE server (cloud). You can download it from central Maven repository https://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.beigesoft%22 See https://sites.google.com/site/beigesoftware/eis-bobs-pizza Beigesoft EIS Bob's Pizza example.
    Downloads: 0 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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