This library validates email address syntax and deliverability.

This package provides a simple Python extension module sass which is binding LibSass.

This library provides a filter for the logging module from the Python standard library which allows removing duplicate log messages.

This package provides Python interface to the OpenJPEG library which allows one to read and write JPEG 2000 files

immutabledict is an immutable wrapper around dictionaries. It implements the complete mapping interface and can be used as a drop-in replacement for dictionaries where immutability is desired.

This package provides Python module to slice a list of sliceables (1 indexed, both start and end index are inclusive). Helps to slice file content line by line or column by column or a combination of both.

This package implements a URI validator according to RFC3986 in pure Python.

autoflake removes unused imports and unused variables from Python code as reported by pyflakes.

By default, it only removes unused imports for modules that are part of the standard library. Removal of unused variables is also disabled by default. It also removes useless pass statements.

Pebble aims to help manage threads and processes in an easier way. It wraps Python's standard library threading and multiprocessing objects.

pydub makes it easy to manipulate audio in Python. It relies on ffmpeg to open various audio formats.

This package provides tools for plotting area-proportional two- and three-way Venn diagrams in matplotlib.

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.

This package provides a simple async process supervisor in Python.

distro provides information about the OS distribution it runs on, such as a reliable machine-readable ID, or version information.

It is the recommended replacement for Python's original `platform.linux_distribution` function (which will be removed in Python 3.8). distro also provides a command-line interface to output the platform information in various formats.

This package makes it easy to draw tables in terminal/console applications from a list of lists of strings. It supports multi-line rows.

CppHeaderParser is a pure python module that will parse C++ header files and generate a data structure representing the class .

This package provides Python bindings to libdbus, the reference implementation of the D-Bus protocol.

Lazy object proxy is an object that wraps a callable but defers the call until the object is actually required, and caches the result of said call.

This package determines if shell has a light or dark background.

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

Pyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in the sense that they are immutable.

All methods on a data structure that would normally mutate it instead return a new copy of the structure containing the requested updates. The original structure is left untouched.

Factory_boy is a fixtures replacement based on thoughtbot’s factory_girl. As a fixtures replacement tool, it aims to replace static, hard to maintain fixtures with easy-to-use factories for complex object. Instead of building an exhaustive test setup with every possible combination of corner cases, factory_boy allows you to use objects customized for the current test, while only declaring the test-specific fields.

Pympler is a development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.

By pympling a Python application, detailed insight in the size and the lifetime of Python objects can be obtained. Undesirable or unexpected runtime behavior like memory bloat and other pymples can easily be identified.

A web profiling frontend exposes process statistics, garbage visualisation and class tracker statistics.

Retrieve a scale based on a given mode and starting note. Information about these scales can be found on Wikipedia.