Trio strives to be a production-quality, async/await-native I/O library for Python. Like all async libraries, its main purpose is to help you write programs that do multiple things at the same time with parallelized I/O.

This package is a small C++ header library which makes it easier to write Python extension modules. The primary feature is a PyObject smart pointer which automatically handles reference counting and provides convenience methods for performing common object operations.

DRMS module provides an easy-to-use interface for accessing HMI, AIA and MDI data with Python. It uses the publicly accessible JSOC (http://jsoc.stanford.edu/) DRMS server by default, but can also be used with local NetDRMS sites.

This package provides an access to the JWST Science Calibration Pipeline processes data from all JWST instruments and observing modes by applying various science corrections sequentially, producing both fully-calibrated individual exposures and high-level data products (mosaics, extracted spectra, etc.).

xSGE is a collection of modules that make doing certain tasks with the SGE Game Engine easier. In addition to SGE's conveniences, the user has access to a GUI toolkit, lighting and physics frameworks and Tiled TMX format support.

Currently, PGPy can load keys and signatures of all kinds in both ASCII armored and binary formats.

It can create and verify RSA, DSA, and ECDSA signatures, at the moment. It can also encrypt and decrypt messages using RSA and ECDH.

The JavaScript Object Signing and Encryption (JOSE) technologies - JSON Web Signature (JWS), JSON Web Encryption (JWE), JSON Web Key (JWK), and JSON Web Algorithms (JWA) - collectively can be used to encrypt and/or sign content using a variety of algorithms.

python-face is a Pythonic microframework for building command-line applications.

• First-class subcommand support

• Powerful middleware architecture

• Separate parser layer

• Built-in flagfile support

• Handy testing utilities

• Themeable help display

unyt is a Python library working with data that has physical units. It defines the unyt.array.unyt_array and unyt.array.unyt_quantity classes (subclasses of NumPy’s ndarray class) for handling arrays and scalars with units,respectively

This package is a fork of Parallel Python. The Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for symmetric multiprocessing (SMP) computers and clusters. It features cross-platform portability and dynamic load balancing.

This package provides a lightweight YAML Parser for Python. It supports only a chosen subset of the YAML format that is required to parse cookiecutter user configuration files. It does not have support for serializing into YAML and is not compatible with JSON.

Google Text-to-Speech (gTTS) is a Python library and CLI tool to interface with the Google Translate text-to-speech API. It lets you write spoken MP3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout.

This package provides a library to extract data from spreadsheets using Microsoft Excel proprietary file formats .xls and .xlsx (versions 2.0 onwards). It has support for Excel dates and is Unicode-aware. It is not intended as an end-user tool.

Flit is a simple way to put Python packages and modules on PyPI. Flit packages a single importable module or package at a time, using the import name as the name on PyPI. All subpackages and data files within a package are included automatically.

xlwt is a library for writing data and formatting information to older Excel files (i.e. .xls). The package itself is pure Python with no dependencies on modules or packages outside the standard Python distribution. It is not intended as an end-user tool.

This package provides a versatile binary analysis platform with the ability to perform dynamic symbolic execution as well as various static analyses directly on binaries. As such, it can be used for all kinds of reverse engineering, vulnerability discovery, exploit generation, and software testing purposes.

pdoc auto-generates API documentation that follows your project's Python module hierarchy. It requires no configuration, has first-class support for type annotations, cross-links between identifiers, comes with an integrated live-reloading web server, uses customizable HTML templates, understands numpydoc and Google-style docstrings.

This library brings the Olson tz database into Python. It allows accurate and cross platform timezone calculations using Python 2.4 or higher. It also solves the issue of ambiguous times at the end of daylight saving time. Almost all of the Olson timezones are supported.

Python-HDF4 is a python wrapper around the NCSA HDF version 4 library, which implements the SD (Scientific Dataset), VS (Vdata) and V (Vgroup) API’s. NetCDF files can also be read and modified. Python-HDF4 is a fork of pyhdf.

This package provides Python bindings to the libmagic file type guesser.

Note that this module and the python-magic module both provide a magic.py file; these two modules, which are different and were developed separately, both serve the same purpose: provide Python bindings for libmagic.

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 Python module enables remote procedure calls, clustering, and distributed-computing. For this purpose, it makes use of object-proxying, a technique that employs python's dynamic nature, to overcome the physical boundaries between processes and computers, so that remote objects can be manipulated as if they were local.

vine provides a special implementation of promises in that it can be used both for "promise of a value" and lazy evaluation. The biggest upside for this is that everything in a promise can also be a promise, e.g. filters, callbacks and errbacks can all be promises.

YAPF is a formatter for Python code. It's based off of clang-format, developed by Daniel Jasper. In essence, the algorithm takes the code and reformats it to the best formatting that conforms to the style guide, even if the original code didn't violate the style guide.