Showing 4 open source projects for "database android"

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  • 1
    Amaze File Manager

    Amaze File Manager

    Material design file manager for Android

    Amaze File Manager is an open source Material Design file manager for Android. It makes Material Design's exceptional features easier than ever to access on your Android device. It comes with an easy-to-use navigation drawer for quick navigation plus plenty of awesome features. It allows you to work on multiple tabs at a time; provides quick access to history, bookmarks or any file; has an inbuilt Database Reader, Zip/Rar Reader, Apk Reader, Text Reader and so much more! Amaze File Manager...
    Downloads: 52 This Week
    Last Update:
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  • 2
    LogicalDOC Document Management - DMS

    LogicalDOC Document Management - DMS

    smart and open source document management system

    ... to reduce costs significantly. Check out https://www.logicaldoc.com to learn more. The design of LogicalDOC is based on best-of-breed Java technologies in order to provide a reliable DMS platform. The main interface is web-based, no need to install anything else; users can access the system through their browser. LogicalDOC CE is 100% free software and is packaged with an open source database; while it supports all major DBMS, developers still recommend MySQL for production systems.
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    Downloads: 329 This Week
    Last Update:
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  • 3
    einklib

    einklib

    Library Application for E-ink Android Readers.

    Simple and fast library application for e-ink android readers. Manage txt, pdf, epub, doc file types. This application is not reader.
    Downloads: 0 This Week
    Last Update:
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  • 4
    storageim
    StorageIM is a monitoring console for storage systems and networks designed around industry standards. StorageIM supports most storage arrays, switches, HBA's and storage libraries.
    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 on Google’s infrastructure.

    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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