STPSF produces simulated PSFs for the James Webb Space Telescope, NASA's flagship infrared space telescope. STPSF can simulate images for any of the four science instruments plus the fine guidance sensor, including both direct imaging, coronagraphic, and spectroscopic modes.

The typeapi package provides an object-oriented interface for introspecting PEP484 type hints at runtime, including forward references that make use of the more recent PEP585 and PEP604 type hint features in Python versions that don't natively support them.

Equinox is a comprehensive JAX library that provides a wide range of tools and features not found in core JAX, including neural networks with PyTorch-like syntax, filtered APIs for transformations, PyTree manipulation routines, and advanced features like runtime errors.

Chaospy is a numerical toolbox for performing uncertainty quantification using polynomial chaos expansions, advanced Monte Carlo methods implemented in Python. It also include a full suite of tools for doing low-discrepancy sampling, quadrature creation, polynomial manipulations, and a lot more.

Pybox2d is a 2D physics library for your games and simple simulations. It's based on the Box2D library, written in C++. It supports several shape types (circle, polygon, thin line segments), and quite a few joint types (revolute, prismatic, wheel, etc.).

python-portend can be used to monitor TCP ports for bound or unbound states. For example, waiting for a port to be occupied or freed within a set timeout. python-portend can also be used directly from the command line.

Slixmpp is a XMPP library for Python 3.7+. It is a fork of SleekXMPP. Its goal is to only rewrite the core of the library (the low level socket handling, the timers, the events dispatching) in order to remove all threads.

Tree is a python library for working with nested data structures. In a way, tree generalizes the builtin map function which only supports flat sequences, and allows you to apply a function to each leaf preserving the overall structure.

Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.

It helps developers working in continuous integration (CI) environments by providing essential information about the CI server. It can determine if the code is running on a CI server,identify the specific server,and detect if a pull request is being tested.

wsproto is a pure-Python implementation of a WebSocket protocol stack. It's written from the ground up to be embeddable in whatever program you choose to use, ensuring that you can communicate via WebSockets, as defined in RFC6455, regardless of your programming paradigm.

Pretend is a library to make stubbing with Python easier. Stubbing is a technique for writing tests. You may hear the term mixed up with mocks, fakes, or doubles. Basically, a stub is an object that returns pre-canned responses, rather than doing any computation.

Pexpect is a pure Python module for spawning child applications; controlling them; and responding to expected patterns in their output. Pexpect works like Don Libes’ Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands.

Pythran is an ahead of time compiler for a subset of the Python language, with a focus on scientific computing. It takes a Python module annotated with a few interface descriptions and turns it into a native Python module with the same interface, but (hopefully) faster.

kitchen module provides a python API for all sorts of little useful snippets of code that everybody ends up writing for their projects but never seem big enough to build an independent release. Use kitchen and stop cutting and pasting that code over and over.

bashlex is a Python port of the parser used internally by GNU bash.

For the most part it's transliterated from C, the major differences are:

• it does not execute anything

• it is reentrant

• it generates a complete AST

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.

Bz2file is a Python library for reading and writing bzip2-compressed files. It contains a drop-in replacement for the I/O interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases.

This package provides thin Python bindings to compression and decomporession algorithms implemented in Rust. This allows for using algorithms such as Snappy without additional system dependencies. The following algorithms are available:

• Snappy

• Brotli

• Bzip2

• LZ4

• Gzip

• Deflate

• Zstd

This package provides a Python Twisted library for LDAP, which key feaatures are:

• LDAP client logic

• separately-accessible LDAP and BER protocol message generation/parsing

• ASCII-format LDAP filter generation and parsing

• LDIF format data generation

• Samba password changing logic

python-isbnlib is a (pure) python library that provides several useful methods and functions to validate, clean, transform, hyphenate and get metadata for ISBN strings. Its origin was as the core of isbntools. This short version, is suitable to be include as a dependency in other projects.

Tzlocal returns a tzinfo object with the local timezone information. This module attempts to fix a glaring hole in pytz, that there is no way to get the local timezone information, unless you know the zoneinfo name, and under several distributions that's hard or impossible to figure out.

ogr2osm is a tool for converting ogr-readable files into OSM format. It supports reading from OGR files like shapefiles or PostgreSQL database and converts data into osm or osm.pbf formats. A translation file can be used to manipulate the data during conversion.

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.