Search Results for "websocket client javascript"
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Showing 4 open source projects for "websocket client javascript"
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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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Field Sales+ for MS Dynamics 365 and SalesforceBring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
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Web-Based Role Playing Engine (for Web Game RPG). Client implemented with Javascript, Ajax, DOM and DHTML. On server, PHP and database (FireBird or MySQL). Ajax is used to communicate client to server. Live demo server: offline.
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A MUD-Client for Windows (Win32) and KDE, featuring perl, python and ruby scripting, as well as multi-window output. The main focus is a very strong scripting engine (nearly everything is accessible from a script) while trying to stay user friendly.
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The time of Archmages will be an open-source MUD game. Players can be connected to the game server using either a special client or through IRC or they can use a Web-interface. This means that a player can reach the server from virtually any platform.
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Cloud9 is a web-based MUD client that uses the full power of JavaScript, HTML, and CSS in order to deliver a flexible, good looking, powerful MUD client that can run on any machine without installation, utilizing a plain web browser (w/ JVM 1.4 support).
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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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