Search Results for "https file server"
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Showing 4 open source projects for "https file server"
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Streamline Hiring with Skill AssessmentsCanditech offers innovative, cheat-proof skill assessments and job simulations to transform your hiring process. From technical skills to soft skills, we help you assess candidates on actual job performance. With over 500 customizable tests and powerful video interview features, you can evaluate real-world capabilities, streamline your hiring, and reduce biases. Whether you’re hiring for remote roles, mass hiring, or looking to expand your diversity pool, Canditech’s data-driven platform ensures the right candidates are chosen for the job every time.
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Securden Windows Privilege ManagerRemove local administrator rights on Windows servers and endpoints. Seamlessly elevate applications for standard users. Grant time-limited rights on-demand. Control application usage by remote employees through whitelisting and blacklisting.
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Curl ORB is to comunicate between Curl and server side java. It can generate Curl source code from POJO which stands for Plain Old Java Object, and invoke the java methods on server side from Curl application.
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[MOVED TO GITHUB] https://github.com/timewalker74/ffmq FFMQ is a full-java, light-weight and super-fast JMS 1.1 server.
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Soapod provides an open-source, open-standards Java(TM) application server. It embraces and implements an integrated peer-to-peer, service-oriented architecture based on open standards such as the Web service stack and JSR standards.
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Remote Invocation Framework (RIF) is a framework for RMI that is 100% dynamic and uses WS over HTTP and HTTPS for brokering. Finally a framework exists to enable RMI with less that 6 lines of code including both the client & server side.
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AI-powered SAST and AppSec platform that helps companies find and fix vulnerabilities.ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities.
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