Mox3 is an unofficial port of the Google mox framework to Python 3. It was meant to be as compatible with mox as possible, but small enhancements have been made.

Cram is a functional testing framework for command line applications. Cram tests look like snippets of interactive shell sessions. Cram runs each command and compares the command output in the test with the command’s actual output.

Rope is a refactoring library for Python. It facilitates the renaming, moving and extracting of attributes, functions, modules, fields and parameters in Python source code. These refactorings can also be applied to occurrences in strings and comments.

rpy2 is a redesign and rewrite of rpy. It is providing a low-level interface to R from Python, a proposed high-level interface, including wrappers to graphical libraries, as well as R-like structures and functions.

Dlib is a modern C++ toolkit containing machine learning algorithms and tools. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments.

APSW is a Python wrapper for the SQLite embedded relational database engine. In contrast to other wrappers such as pysqlite it focuses on being a minimal layer over SQLite attempting just to translate the complete SQLite API into Python.

ONNX is a format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.

Hiro provides context managers and utilities to either freeze, accelerate or decelerate and jump between different points in time. Functions exposed by the standard library’s time, datetime and date modules are patched within the contexts exposed.

The TDDA Python module provides command-line and Python API support for the overall process of data analysis, through tools that perform reference testing, constraint discovery for data, automatic inference of regular expressions from text data and automatic test generation.

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.

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.).

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.

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.

Lark is a parser built with a focus on ergonomics, performance and resilience. Lark can parse all context-free languages. That means it is capable of parsing almost any programming language out there, and to some degree most natural languages too.

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.

DIPY is the paragon 3D/4D+ medical imaging library in Python. It contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

CAMB is a cosmology code for calculating cosmological observables, including CMB, lensing, source count and 21cm angular power spectra, matter power spectra, transfer functions and background evolution. The code is in Python, with numerical code implemented in fast modern Fortran.

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.