Search Results for "universal sql editor"
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Showing 4 open source projects for "universal sql editor"
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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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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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Project 2306 IDE Rad MacOS MCU DeveR
Electronic design and programming tools suite like Eagle, MpLab
Currently Only MacOS is Present, PreAlpha means not Ready to use, Application is provided Without Strict Garantee, License not OSI. All others platform Windows, Linux, HaikuOS STILL under TEST, Dummy "Hello world" is provided instead Project2306 IDE : Application pour la programmation de Microcontroleurs et d' Application Electronique Project2306 IDE : for All whom want to Create and Develop on Embed Platform Software as Programming Tools suite and PCB Design Planned... -
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ipmems
Real-time data acquisition and visualization software
Cross-platform data acquisition and visualization software with an embedded HTTP-server, binary protocol parsing library, protocol emulation server, remote secure administration server, embedded Groovy scripting facilities and HMI (SCADA) visualization module. -
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Universal PHP Framework. toKernel is a fully Object-Oriented extensible framework. By design, the framework's kernel is monolithic which brings a lot of advantages. It is NOT a loader for a mere collection of classes.
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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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