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Showing 5 open source projects for "python linux"
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
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Our goal is to find out useful and funny ways for expanding the possibilities of many FOSS by integrating them with other FOSS and proprietary systems. You'll find here many open source plugins and extensions useful to put those FOSS hermits together.
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"Yet Another Do-It-Yourself (Test) Automation Framework" specification. Use or modify one of the existing software implementations (hosted/referenced here), or implement the framework yourself. Download and read the spec for more details.
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Fressia Project is an effort to develop an Open Source general framework for Testing Automation. It's intended for users (testers) that want a simple tool which can be used just out of the box. It's does not requires any complicated configuration stuff
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Turn more customers into advocates.The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
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BugEye is an XML-based unit test creation framework. Being XML-based, it can be easily translated to almost any language. The current translations are C#, Java, JavaScript, and Visual Basic. Future translations include C++, Python, Perl, and PHP.
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