Python's built-in itertools module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML. more-itertools includes additional building blocks for working with iterables.

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.

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.

Pluggy is an extraction of the plugin manager as used by Pytest but stripped of Pytest specific details.

This is a backport of the subprocess standard library module from Python 3.2 and 3.3 for use on Python 2. It includes bugfixes and some new features. On POSIX systems it is guaranteed to be reliable when used in threaded applications. It includes timeout support from Python 3.3 but otherwise matches 3.2’s API.

Pycairo is a set of Python bindings for the Cairo graphics library.

Thin-wrapper around the mock package for easier use with pytest

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.

This package is a backport of the functools module from Python 3.2.3 for use with older versions of Python and PyPy.

Kiwi is an efficient C++ implementation of the Cassowary constraint solving algorithm. Kiwi has been designed from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x faster than the original Cassowary solver with typical use cases gaining a 40x improvement. Memory savings are consistently > 5x.

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.

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.

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 Python library provides functions for converting between Julian dates and Gregorian dates.

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.

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.

Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. Six supports every Python version since 2.5. It is contained in only one Python file, so it can be easily copied into your project.

This package provides an implementation of importlib.resources for older versions of Python.

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.

The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.

importlib_metadata is a library which provides an API for accessing an installed Python package's metadata, such as its entry points or its top-level name. This functionality intends to replace most uses of pkg_resources entry point API and metadata API. Along with importlib.resources in Python 3.7 and newer, this can eliminate the need to use the older and less efficient pkg_resources package.

ScientificPython is a collection of Python modules that are useful for scientific computing. Most modules are rather general (Geometry, physical units, automatic derivatives, ...) whereas others are more domain-specific (e.g. netCDF and PDB support). The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.

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.

Pytest-cov produces coverage reports. It supports centralised testing and distributed testing in both load and each modes. It also supports coverage of subprocesses.