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Showing 4 open source projects for "wamp server python"
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Field Service+ for MS Dynamics 365 & SalesforceResco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
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Syllog
Syllog is a system for teaching logic, with anonymous answer logging
Syllog is a system for teaching various forms of logic, including syllogistic logic. It consists of a student-facing Java Applet that runs in the student's browser, and a teacher-facing, server-based logging facility for recording the answers given by students. The student-facing part simply poses questions, to which the student must provide an answer. The teacher-oriented logging facility then logs the answers anonymously for further investigation by the teacher. -
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ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/
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Gumpire is designed to be used as an educational aid in a programming class. It will allow students to program game clients that can participate in a competition without needing to write a complicated interface to a server.
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Dictionnaire is an open-source French-English dictionary intended to cover modern phraseology as well as entries that are difficult to translate using traditional dictionaries.
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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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