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Open source framework for writing Unit, Integration and functional tests. It includes pre-configured logging framework and extent reports, utilities to write flow for manual/semi-automated testing. It supports BDD testing using cucumber scripts. Arquillian: Yes [294] Open source framework for writing Integration and functional tests.
CppUnit is a unit testing framework module for the C++ programming language. It allows unit-testing of C sources as well as C++ with minimal source modification. It was started around 2000 by Michael Feathers as a C++ port of JUnit for Windows and ported to Unix by Jerome Lacoste. [2] The library is released under the GNU Lesser General Public ...
Pytest was developed as part of an effort by third-party packages to address Python's built-in module unittest's shortcomings. It originated as part of PyPy, an alternative implementation of Python to the standard CPython. Since its creation in early 2003, PyPy has had a heavy emphasis on testing. PyPy had unit tests for newly written code ...
In 2009, a Google sponsored branch named Unladen Swallow was created to incorporate a just-in-time compiler into CPython. [7] [8] Development ended in 2011 without it being merged into the main implementation, [9] though some of its code, such as improvements to the cPickle module, made it in. [10] [7]
Python (programming language) libraries (1 C, 43 P) Python (programming language)-scriptable game engines (8 P) Python (programming language)-scripted video games (1 C, 43 P)
Yes [5] Yes Yes No ? No [6] Chainer: Preferred Networks 2015 BSD: Yes Linux, macOS: Python: Python: No No Yes No Yes Yes Yes Yes No Yes No [7] Deeplearning4j: Skymind engineering team; Deeplearning4j community; originally Adam Gibson 2014 Apache 2.0: Yes Linux, macOS, Windows, Android (Cross-platform) C++, Java: Java, Scala, Clojure, Python ...
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Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.