Open Source Python QA Automation Software - Page 2
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Python QA Automation Software
View 5658 business solutionsBrowse free open source Python QA Automation Software and projects below. Use the toggles on the left to filter open source Python QA Automation Software by OS, license, language, programming language, and project status.
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TestFarm is a client-server Python app that allows monitoring the stability and efficiency of a devel project by performing continuous builds and tests in multiple platforms. The overall idea is based on Tinderbox. With a simpler and extensible approach.
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Analyze the Sourceforge Tracker Mail Lists and Tracker stats to prepare a report of opened/reopened and closed Tracker items. Mail the report to a list and a log to the maintainer.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Analyzes Cpp code for unused public functions, public functions which are candidates to be private functions and duplicate implementation of public functions.
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A queries management software. It was primary designed for an IT team to manage the incidents, but can be used to manage any query, inside or outside an organization. Can be appropriate for Service Desk management.
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AFMS is an Artefact Management System to manage some of the artefacts appearing in the development process of a product. Artefacts are for example requirements, use cases or test cases. AFMS contains an artefact editor and a test execution tool.
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Cover Your Asp, a Python coverage analysis tool. This coverage tool correctly traces multithreaded applications and uses deep understanding of Python syntax to provide intelligent reports.
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Doceval is a software that allows to discover the documentation included in a tarball. Basically it serves to identify if a given software project has doc at all and helps with a report to evaluate how much documentation it has and how good it is.
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Drid
Multi-Purpose Automation Grid
Console-based tool that will allow for multiple types of automation testing to run in parallel. Written in Python -
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ETICS stands for "eInfrastructure for Testing, Integration and Configuration of Software". It provides software professionals with an "out-of-the-box" build and test system, powered with a build and test product repository.
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EfficiencyGuardian extracts callgrind efficiency measures from individual CppUnit test cases to detect efficiency regresion. It includes a data mining web tool to browse historic results and TestFarm integration for unattended execution on commit.
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FTF (for Flexible Testing Framework) is a modular framework for testing, both automatic and manual, and quality assurance. FTF initial development has been done in the EDOS project, to support Linux distributions testing.
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A suite of tools and extensions to Python to permit automatic specification-based testing with inline, incremental formal specification.
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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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Gefira is an umbrella project for various opensource-related projects, usually backend or middleware oriented.
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A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
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Gathering requirements should be fun. It's the brainstorming process refined. It shouldn't get in the way of productivity or creativity. Harvest is about gathering requirements in the most intuitive, least intrusive way possible.
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Design by Contract allows a programmer to document a function/class with statements describing behavior. Metacontract implements the PEP-0316 related to this feature for the Python language using meta classes.
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MTCC (Model-Driven Test Case Construction) in an approach to the construction of acceptance tests by domain experts for testing system families based on feature models. MTCC is applied to the application domain of Digital Libraries.
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This package will allow people to check, change, update the license of their projects. It will conform to all new licenses available.
