Search Results for "data visualization"
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Showing 4 open source projects for "data visualization"
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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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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An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
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JavaCET is an API wrote in Java that allows to analyze Java source code and libraries, and control its execution and its trace in an integrated and comprehensible object-oriented way. It allows backwards execution.
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... visualizes EBNF (Extended Backus Naur Form). Therefore an .ebnf File is required, which contains rules written in EBNF. The program parses the rules, visualizes them as syntax diagrams and is able to generate .gif and .emf files for further use.
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Flow4J is a java framework, that enables the user to model process flow with a gui interface. The flow may include tasks, decisions or calls to other process flows. The saved flow is in a jar file together with its bytecode.
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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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