Search Results for "issue tracking system java"
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Showing 4 open source projects for "issue tracking system java"
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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JiBX is a framework for XML data binding to Java. It works with existing classes, using a flexible mapping definition file to determine how data objects are translated to and from XML. See the Home Page for details and external bug tracking system links.
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Platform-independent PostgreSQL diff tool that is useful for schema upgrades. The tool compares two schema dump files and creates output file that can be used for upgrade of old schema. Project sources and issue tracker has been moved to https://github.com/fordfrog/apgdiff.
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This framework is a release notes framework that enables to generate textual release notes from an XML file. This is an open framework that enables to integrate outer information (VSC, bug tracking). Stand-alone GUI and Eclipse integration is on march.
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Define your database structure and relations once using the ZsqlML (Zenark's SQL Markup Language) XML DTD, and then generate mulitple vendor-specific SQL scripts, thereby solving the issue of SQL script variances across multiple platforms.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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