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Showing 4 open source projects for "code"
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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LOG4PLSQL is a PLSQL framework for logging in all PLSQL code this project was born from the log4J spirit (and use it). You have the possibility to log apart from transaction and use all LOG4J feature.
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The Log & Dbug Library is an open source PL/SQL library, useful to log/debug your programs in the development phase and trace their activity and performances in production. It is ideal to improve your efficiency and code quality.
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Orate is a source-level tracing facility for Oracle PL/SQL. Programmers insert calls to Orate in the code and Orate captures and writes run time information to a table. These data are suitable for debugging, testing and profiling the application.
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XPHP is an IDE authoring tool for Windows that allows you to design, develop, test, debug and deploy PHP applications. [This project has been discontinued since 2005]
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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