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The goal of pathlib2 is to provide a backport of standard pathlib module which tracks the standard library module, so all the newest features of the standard pathlib can be used also on older Python versions.
Pathlib offers a set of classes to handle file system paths. It offers the following advantages over using string objects:
No more cumbersome use of os and os.path functions. Everything can be done easily through operators, attribute accesses, and method calls.
Embodies the semantics of different path types. For example, comparing Windows paths ignores casing.
Well-defined semantics, eliminating any inconsistencies or ambiguities (forward vs. backward slashes, etc.).
Mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This library is now part of Python (since Python 3.3), available via the unittest.mock module.
This library brings functools.singledispatch from Python 3.4 to Python 2.6-3.3.
This package provides an implementation of importlib.resources for older versions of Python.
python-configparser is a backport of configparser from Python 3.5 so that it can be used directly in other versions.
Pluggy is an extraction of the plugin manager as used by Pytest but stripped of Pytest specific details.
Packaging is a Python module for dealing with Python packages. It offers an interface for working with package versions, names, and dependency information.
This package provides a pathlib-compatible Zipfile object wrapper. It provides a backport of the Path object.
MMTK is a library for molecular simulations with an emphasis on biomolecules. It provides widely used methods such as Molecular Dynamics and normal mode analysis, but also basic routines for implementing new methods for simulation and analysis. The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.
This module is primarily a backport of the Python 3.2 contextlib to earlier Python versions. Like contextlib, it provides utilities for common tasks involving decorators and context managers. It also contains additional features that are not part of the standard library.
This module is primarily a backport of the Python 3.2 contextlib to earlier Python versions. Like contextlib, it provides utilities for common tasks involving decorators and context managers. It also contains additional features that are not part of the standard library.
Setuptools is a fully-featured, stable library designed to facilitate packaging Python projects, where packaging includes:
Python package and module definitions
distribution package metadata
test hooks
project installation
platform-specific details.
Pycairo is a set of Python bindings for the Cairo graphics library.
Pyro is a Distributed Object Technology system written in Python that is designed to be easy to use. It resembles Java's Remote Method Invocation (RMI). It has less similarity to CORBA, which is a system and language independent Distributed Object Technology and has much more to offer than Pyro or RMI. Pyro 3.x is no longer maintained. New projects should use Pyro4 instead, which is the new Pyro version that is actively developed.
Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It’s based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow.
Py is a Python library for file name parsing, .ini file parsing, I/O, code introspection, and logging.
Pysam is a Python module for reading and manipulating files in the SAM/BAM format. Pysam is a lightweight wrapper of the SAMtools C API. It also includes an interface for tabix.
Backport of funcsigs which was introduced in Python 3.3.
The goal of pathlib2 is to provide a backport of standard pathlib module which tracks the standard library module, so all the newest features of the standard pathlib can be used also on older Python versions.
Pathlib offers a set of classes to handle file system paths. It offers the following advantages over using string objects:
No more cumbersome use of os and os.path functions. Everything can be done easily through operators, attribute accesses, and method calls.
Embodies the semantics of different path types. For example, comparing Windows paths ignores casing.
Well-defined semantics, eliminating any inconsistencies or ambiguities (forward vs. backward slashes, etc.).
Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.
Pytest-cov produces coverage reports. It supports centralised testing and distributed testing in both load and each modes. It also supports coverage of subprocesses.
Unittest2 is a replacement for the unittest module in the Python standard library.
This module provides a standard interface to extract, format and print stack traces of Python programs. It exactly mimics the behavior of the Python interpreter when it prints a stack trace.
This package provides a Python library intended for use in automated tests. One difficulty when testing software is that the code under test might need to read or write to files in the local file system. If the file system is not set up in just the right way, it might cause a spurious error during the test. The pyfakefs library provides a solution to problems like this by mocking file system interactions. In other words, it arranges for the code under test to interact with a fake file system instead of the real file system. The code under test requires no modification to work with pyfakefs.