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.

Py is a Python library for file name parsing, .ini file parsing, I/O, code introspection, and logging.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language. It makes writing C extensions for Python as easy as Python itself.

This library brings functools.singledispatch from Python 3.4 to Python 2.6-3.3.

Library for atomic file writes using platform dependent tools for atomic file system operations.

Coverage measures code coverage, typically during test execution. It uses the code analysis tools and tracing hooks provided in the Python standard library to determine which lines are executable, and which have been executed.

The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

attrs is a Python package with class decorators that ease the chores of implementing the most common attribute-related object protocols.

This Python library allows reading and writing to the Excel XLSX, XLSM, XLTX and XLTM file formats that are defined by the Office Open XML (OOXML) standard.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

python2-backports-functools-lru-cache is a backport of functools.lru_cache from Python 3.3.

Setuptools_scm handles managing your Python package versions in software configuration management (SCM) metadata instead of declaring them as the version argument or in a SCM managed file.

The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.

python-configparser is a backport of configparser from Python 3.5 so that it can be used directly in other versions.

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.

The linecache module allows one to get any line from any file, while attempting to optimize internally, using a cache, the common case where many lines are read from a single file.

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.

Beautiful Soup is a Python library designed for rapidly setting up screen-scraping projects. It offers Pythonic idioms for navigating, searching, and modifying a parse tree, providing a toolkit for dissecting a document and extracting what you need. It automatically converts incoming documents to Unicode and outgoing documents to UTF-8.

Python Build Reasonableness (PBR) is a library that injects some useful and sensible default behaviors into your setuptools run. It will set versions, process requirements files and generate AUTHORS and ChangeLog file from git information.

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:

1. No more cumbersome use of os and os.path functions. Everything can be done easily through operators, attribute accesses, and method calls.

2. Embodies the semantics of different path types. For example, comparing Windows paths ignores casing.

3. Well-defined semantics, eliminating any inconsistencies or ambiguities (forward vs. backward slashes, etc.).

Packaging is a Python module for dealing with Python packages. It offers an interface for working with package versions, names, and dependency information.

The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.