Showing 6 open source projects for "environment-modules"

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  • 1
    Conda

    Conda

    OS-agnostic, system-level binary package manager

    ...If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.
    Downloads: 18 This Week
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  • 2
    Zebrunner Community Edition

    Zebrunner Community Edition

    Test Automation Management Tool

    ...It is built on top of popular docker solutions and includes Postgres database, Zebrunner Reporting, Jenkins Master/Slaves Nodes, Selenium Hub, Mobile Device Farm (MCloud), SonarQube, etc. All components are deployed under NGINX WebServer which can be configured in a fully secured environment. The Zebrunner CE repository: https://github.com/zebrunner/zebrunner
    Downloads: 0 This Week
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  • 3
    SW Test Automation Framework
    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.
    Downloads: 28 This Week
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  • 4
    Python Automation Suite - a collection of Python programs/modules that forms an integrated Software Test Automation
    Downloads: 0 This Week
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  • 5
    GNU/Linux Desktop Testing Project (GNU/LDTP) is created with the goal of producing high quality test automation frameworks and cutting-edge tools that can be used to test the Linux Desktop and improve it.
    Downloads: 0 This Week
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  • 6

    Testerman

    A TTCN-3-inspired testing environment in Python

    Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and prototypes of network applications.
    Downloads: 0 This Week
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