This module implements the PRECIS Framework as described in RFC 8264, RFC 8265 and RFC 8266.

The jupyter_client package contains the reference implementation of the Jupyter protocol. It also provides client and kernel management APIs for working with kernels, and the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends.

This package provides an API wrapper for programmatic management of PythonAnywhere services.

The property-manager package defines several custom property variants for Python programming including required properties,writable properties, cached properties, etc.

This package is a simple RTF tokenizer.

This package provides a collection of miscellaneous utility functions and classes.

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

This package provides a collection of library stubs for Python, with static types.

This module provides a Python version of node-semver, a semantic version parser for Node.js.

Lfdfiles is a Python library and console script for reading, writing, converting, and viewing many of the proprietary file formats used to store experimental data and metadata at the Laboratory for Fluorescence Dynamics.

This package provides a Python library that is an implementation of traditional readability measures based on simple surface characteristics. These measures are basically linear regressions based on the number of words, syllables, and sentences.

This package provides an implementation of generic floating point encode and decode logic in Python. It handles various current and proposed floating point types:

• IEEE 754: Binary16, Binary32

• OCP Float8: E5M2, E4M3

• IEEE WG P3109

• OCP MX Formats: E2M1, M2M3, E3M2, E8M0, INT8, and the MX block formats.

This package provides benchmark functions that return total space, memory, CPUs required per given input size, and parameters for CWL workflows.

PyPugJS is a high-performance port of PugJS for Python, that converts any .pug source into different template languages: Django, Jinja2, Mako, and Tornado.

This package provides an extension for the template engine Jinja2. It adds a 'now' tag providing a convenient access to the arrow.now() API from templates. A format string can be provided to control the output.

rst.linker automatically replaces text by a reStructuredText external reference or timestamps. It's primary purpose is to augment the changelog, but it can be used for other documents, too.

This package provides Python bindings to the OMERO.blitz server.

pyquery allows you to make jQuery queries on xml documents. The API is as much as possible the similar to jQuery. pyquery uses lxml for fast xml and html manipulation.

This package provides a module for generating v4 UUIDs and encoding them into 22 character URL-safe base64 slug representation.

The capturer package makes it easy to capture the stdout and stderr streams of the current process and subprocesses. Output can be relayed to the terminal in real time but is also available to the Python program for additional processing.

Psycopg is a PostgreSQL database adapter for the Python programming language. Its main features are the complete implementation of the Python DB API 2.0 specification and the thread safety (several threads can share the same connection). It was designed for heavily multi-threaded applications that create and destroy lots of cursors and make a large number of concurrent INSERTs or UPDATEs.

Psycopg 2 is mostly implemented in C as a libpq wrapper, resulting in being both efficient and secure. It features client-side and server-side cursors, asynchronous communication and notifications, COPY TO/COPY FROM support. Many Python types are supported out-of-the-box and adapted to matching PostgreSQL data types; adaptation can be extended and customized thanks to a flexible objects adaptation system.

Psycopg 2 is both Unicode and Python 3 friendly.

This package lets you read image and metadata from many bio-scientific formats such as plain TIFF, BigTIFF, OME-TIFF, STK, LSM, SGI,NIH, ImageJ, MicroManager, MD GEL, and FluoView files. It also lets you write numpy arrays to TIFF, BigTIFF, and ImageJ hyperstack compatible files.

makefun helps create functions dynamically with a given signature. It was largely inspired by python-decorator and functools.

This package provides an AST unparser for Python. It is a factored out version of unparse found in the Python source distribution.