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Showing 4 open source projects for "java examples"
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All-in-one solution to control corporate spendingWallester Business is a leading world-class solution to optimize your company’s financial processes! Issuing virtual and physical corporate expense cards with an IBAN account, expense monitoring, limit regulation, convenient accounting, subscription control — manage your finance on all-in-one platform in real time! Wallester Business benefits your business growth!
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FusionAuth: Authentication and User Management SoftwareFusionAuth adds login, registration, SSO, MFA, and a bazillion other features to your app in days - not months.
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yafra
Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework
Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on! -
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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Release and documentation of a versatile load and performance testing framework. Available in both Java and C# versions, this testing framework boasts simplicity in its implementation with easy to follow examples.
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EPerl, or Embedded Perl, is a basic call-level interface that supports calling Perl subroutines or evaluating Perl code blocks from Java 5 and .NET 2.0. ActivePerl 5.8.8 (or later) for Windows is required. See unit tests (browse CVS online) for examples.
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Raima Database Manager is an embedded in-memory database for IoT and Edge devicesRaima Database Manager (RDM) is an embedded relational database optimized to run on resource-constrained IoT edge devices that require real-time response. RDM enables intelligent decisions to be made at the device level within microseconds.
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