This package provides a Python implementation of John Gruber's Markdown. The library features international input, various Markdown extensions, and several HTML output formats. A command line wrapper markdown_py is also provided to convert Markdown files to HTML.

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.

This package provides a high-level, convenient API for managing internationalization/translation contexts in Python applications. There is a simple API for single-context applications, such as command line scripts which only need to translate into one language during the entire course of their execution. There is a more flexible, but still convenient API for multi-context applications, such as servers, which may need to switch language contexts for different tasks.

Greenlet package is a spin-off of Stackless, a version of CPython that supports micro-threads called "tasklets". Tasklets run pseudo-concurrently (typically in a single or a few OS-level threads) and are synchronized with data exchanges on "channels".

ExifRead is a Python library to extract EXIF data from tiff and jpeg files.

This package provides the editor module for programmatically interfacing with your system's $EDITOR.

This module provides utilities for multiplexing interactions with lists of Python objects.

This package provides a mutable, self-balancing interval tree implementation for Python. Queries may be by point, by range overlap, or by range envelopment. This library was designed to allow tagging text and time intervals, where the intervals include the lower bound but not the upper bound.

JUBE helps perform and analyze benchmarks in a systematic way. For each benchmarked application, benchmark data is stored in a format that allows JUBE to deduct the desired information. This data can be parsed by automatic pre- and post-processing scripts that draw information and store it more densely for manual interpretation.

croniter provides iteration for datetime object with cron-like format.

pyproject-api aims to abstract away interaction with pyproject.toml style projects in a flexible way.

This package provides a self-contained and simple BIP39 implementation written in Python. It includes a bip39.py executable.

BIP39 is a standardized mapping between binary data (the entropy), and a list of words that are easier to remember for humans (the mnemonic).

Argh is a small library that provides several layers of abstraction on top of python-argparse. The layers can be mixed. It is always possible to declare a command with the highest possible (and least flexible) layer and then tune the behaviour with any of the lower layers including the native API of python-argparse.

This package contains typing stubs for pytz, a very small subset the Python stubs contained in the complete typeshed collection.

This package provides Python bindings for the libheif library and a plugin for Pillow.

This package provides a style checker for the Python Language Server (PLS).

This package provides an ANSI terminal tool for Python, colored shell and other handy fancy features.

Pylru implements a true LRU cache along with several support classes. Pylru provides a cache class with a simple dict interface. It also provides classes to wrap any object that has a dict interface with a cache. Both write-through and write-back semantics are supported. Pylru also provides classes to wrap functions in a similar way, including a function decorator.

This package provides a microlibrary that defines a JSON type alias for Python.

This package provides the complete NumPy documentation in the Texinfo, and HTML formats.

This package provides a pure Python trie data structure implementation.

This package provides ANSII Color formatting for output in terminals.

This package provides a simple YAML-based config module.

Dunamai is Python library and command line tool for producing dynamic, standards-compliant version strings, derived from tags in your version control system. This facilitates uniquely identifying nightly or per-commit builds in continuous integration and releasing new versions of your software simply by creating a tag.