pyregion is a python module to parse ds9 region files. It also supports ciao region files. Features:

• ds9 and ciao region files.

• (physical, WCS) coordinate conversion to the image coordinate.

• convert regions to matplotlib patches.

• convert regions to spatial filter (i.e., generate mask images)

The Qt for Python product enables the use of Qt6 APIs in Python applications. It lets Python developers utilize the full potential of Qt, using the PySide6 module. The PySide6 module provides access to the individual Qt modules such as QtCore, QtGui,and so on. Qt for Python also comes with the Shiboken6 CPython binding code generator, which can be used to generate Python bindings for your C or C++ code.

The Qt for Python product enables the use of Qt5 APIs in Python applications. It lets Python developers utilize the full potential of Qt, using the PySide2 module. The PySide2 module provides access to the individual Qt modules such as QtCore, QtGui,and so on. Qt for Python also comes with the Shiboken2 CPython binding code generator, which can be used to generate Python bindings for your C or C++ code.

The Qt for Python product enables the use of Qt5 APIs in Python applications. It lets Python developers utilize the full potential of Qt, using the PySide2 module. The PySide2 module provides access to the individual Qt modules such as QtCore, QtGui,and so on. Qt for Python also comes with the Shiboken2 CPython binding code generator, which can be used to generate Python bindings for your C or C++ code.

This package provides a Python library intended for use in automated tests. One difficulty when testing software is that the code under test might need to read or write to files in the local file system. If the file system is not set up in just the right way, it might cause a spurious error during the test. The pyfakefs library provides a solution to problems like this by mocking file system interactions. In other words, it arranges for the code under test to interact with a fake file system instead of the real file system. The code under test requires no modification to work with pyfakefs.

Pymodbus is a full Modbus protocol implementation using asyncio, tornado or twisted for its asynchronous communications core. It includes the following client features:

• full read/write protocol on discrete and register

• most of the extended protocol (diagnostic/file/pipe/setting/information)

• TCP, UDP, Serial ASCII, Serial RTU, and Serial Binary

• asynchronous and synchronous versions

• payload builder/decoder utilities

• pymodbus read eval print loop (REPL).

It also includes the following server features:

• can function as a fully implemented Modbus server

• TCP, UDP, Serial ASCII, Serial RTU, and Serial Binary

• asynchronous and synchronous versions

• full server control context (device information, counters, etc)

• a number of backing contexts (database, redis, sqlite, a slave device).

PyThresh is a comprehensive and scalable Python toolkit for thresholding outlier detection likelihood scores in univariate/multivariate data. It has been written to work in tandem with PyOD and has similar syntax and data structures. However, it is not limited to this single library.

PyThresh is meant to threshold likelihood scores generated by an outlier detector. It thresholds these likelihood scores and replaces the need to set a contamination level or have the user guess the amount of outliers that may exist in the dataset beforehand. These non-parametric methods were written to reduce the user's input/guess work and rather rely on statistics instead to threshold outlier likelihood scores. For thresholding to be applied correctly, the outlier detection likelihood scores must follow this rule: the higher the score, the higher the probability that it is an outlier in the dataset. All threshold functions return a binary array where inliers and outliers are represented by a 0 and 1 respectively.

PyThresh includes more than 30 thresholding algorithms. These algorithms range from using simple statistical analysis like the Z-score to more complex mathematical methods that involve graph theory and topology.

Sip module support for PyQt5

Python bindings for GLib, GObject, and GIO.

pyfavicon is an async favicon fetcher.

Python bindings for GLib, GObject, and GIO.

Pybiomart provides a simple pythonic interface to biomart.

This package lets you manipulate PyPI API tokens.

PyMarshal replicates the feature of (un)marshalling structs in Golang.

Python library for generating and parsing RFC 3339-compliant timestamps.

PyOpenSSL is a high-level wrapper around a subset of the OpenSSL library.

pyinotify provides a Python interface for monitoring file system events on Linux.

Pyperclip is a clipboard module for Python, handling copy/pasting from the X11 clipboard

This package provides a parser, schema validator, and data binding tool for YAML and JSON.

This library allows you to write entries to a KeePass database. It supports KDBX3 and KDBX4.

This package provides a collection of useful tools to use PyPy-specific features, with CPython fallbacks.

This package provides a Python implementation of catch22, a collection of 22 time-series features.

pynixutil provides functions for base32 encoding/decoding and derivation parsing, namingly b32decode(), b32encode() and drvparse().

PyRSS2Gen is the interface to generate RSS 2.0 feeds. PyRSS2Gen builds the feed up by using a XML generator.