Showing 4 open source projects for "data mining java project with code"

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    Grafana: The open and composable observability platform

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  • 1
    Hibernate

    Hibernate

    An object relational-mapping (ORM) library for Java

    Hibernate is an Object/Relational Mapper tool. It's very popular among Java applications and implements the Java Persistence API. Hibernate ORM enables developers to more easily write applications whose data outlives the application process. As an Object/Relational Mapping (ORM) framework, Hibernate is concerned with data persistence as it applies to relational databases (via JDBC).
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    Downloads: 492 This Week
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  • 2
    DataNucleus

    DataNucleus

    Java persistence using JDO, JPA or REST

    DataNucleus provides Java data persistence to a range of datastores using JDO/JPA/REST APIs. *** Note that code development is no longer on SourceForge (code on SourceForge is for versions up to 3.3.5 only) ***
    Downloads: 0 This Week
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  • 3
    KittyORM

    KittyORM

    KittyORM is an ORM library designed for use with Android and SQLite.

    KittyORM is an Object-Relational Mapping library designed for use with Android and SQLite. It implements Data Mapper pattern design and its main purpose is to simplify interaction with SQLite database in Android applications. Written in Java 7 it supports devices from API level 9 Android. Main features we want to achieve with KittyORM are: * simple and clear API; * high flexibility of working with model POJO files via database mappers that grants you an ability to focus on your...
    Downloads: 0 This Week
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  • 4
    A data supporter library for developing hibernate ready applications with an easy to write dao code preventing session problems
    Downloads: 0 This Week
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  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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