Showing 3 open source projects for "java swt"

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  • 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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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    DocFetcher

    DocFetcher

    Desktop search application

    DocFetcher is an Open Source desktop search application: It allows you to search the contents of files on your computer. — You can think of it as Google for your local files. The application runs on Windows, Linux and Mac OS X.
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    Downloads: 2,505 This Week
    Last Update:
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  • 2
    EditBox

    EditBox

    EditBox is the Eclipse plugin for source code background highlighting.

    EditBox is the Eclipse plugin for source code background highlighting. While most of plugins highlight the syntax of the source code, EditBox highlights the selected block of the code by changing its background color and drawing border around it.
    Downloads: 6 This Week
    Last Update:
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  • 3
    CCKDM

    CCKDM

    Concern Mining

    This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings.
    Downloads: 0 This Week
    Last Update:
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