Search Results for "multi%20seat"
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Showing 3 open source projects for "multi%20seat"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Say goodbye to broken revenue funnels and poor customer experiencesLeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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LabMACOSX: Is a laboratory of applications written in Applescript language. Brutosx is brutus.pl remote login and password bruteforce cracker inserted inside the application Brutosx (need only of Net::Telnet Perl module are required get them at CPAN, while the list of users and passwords, and the service is inserted inside the application). SSHOSX is ssh application client to establish an ssh connection from client to server, Nmaposx is nmap port scanner invoked from the application Nmaposx...
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Software Automation Framework Support
Multiplatform data-driven test automation execution services
SAFS is a software test automation framework supporting data-driven (aka keyword-driven) functional test automation and associated services. The framework can run stand-alone on Windows, Linux, and Mac as well as integrate the use of IBM Rational Functional Tester, IBM Rational Robot, Smart Bear/AutomatedQA Test Complete, Apple XCode UIAutomation, Android SDK Automaton, Thoughtworks Selenium, and several other tools. Among other features, it provides advanced support of language... -
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ImageFuser is a MacOSX Gui for enfuse and align_image_stack that fuses multiple exposures (fotos) of one scene into an image with greater detail and well balanced exposure by using the well exposed areas of the original multi-exposure images.
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