JMESPath (pronounced “james path”) is a Python library that allows one to declaratively specify how to extract elements from a JSON document.

Databind is a library inspired by jackson-databind to de-/serialize Python dataclasses.

This module provides Python utility functions for modifying and setting the color of terminal output, via HyDEV.

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).

NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers "fixing" those.

This module provides a portable way of finding out where user data should be stored on various operating systems.

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.

The Munkres module provides an implementation of the Munkres algorithm (also called the Hungarian algorithm or the Kuhn-Munkres algorithm), useful for solving the Assignment Problem.

This package provides a mutable, self-balancing interval tree implementation for Python. Queries may be by point, by range overlap, or by range envelopment. This library was designed to allow tagging text and time intervals, where the intervals include the lower bound but not the upper bound.

This package implements a functionality to print versions of imported Python packages.

This package provides a library that wraps the traditional Python dictionaries and provides a syntax to access nested dictionaries values using a dot syntax, for example: dictionary['deeply.nested.key'].

This is a collection of well-tested, simple modules and functions that aim to reduce boilerplate when working with data.

This package provides a Flake8 plugin that checks for ipdb and pdb imports and set traces, as well as from IPython.terminal.embed, import InteractiveShellEmbed and InteractiveShellEmbed()().

CLI Helpers is a Python package that makes it easy to perform common tasks when building command-line apps. It's a helper library for command-line interfaces.

This package provides static memory-efficient and fast Trie-like structures for Python.

Traceback serialization allows you to:

1. Pickle tracebacks and raise exceptions with pickled tracebacks in different processes. This allows better error handling when running code over multiple processes (imagine multiprocessing, billiard, futures, celery etc).

2. Parse traceback strings and raise with the parsed tracebacks.

This package provides a Python interface to iw wireless tools.

This package provides utilities for multithreading in Click applications.

ncclient is a Python library that facilitates client-side scripting and application development around the NETCONF protocol.

Argh is a small library that provides several layers of abstraction on top of python-argparse. The layers can be mixed. It is always possible to declare a command with the highest possible (and least flexible) layer and then tune the behaviour with any of the lower layers including the native API of python-argparse.

Capture the outcome of Python function calls. Extracted from the Trio project.

This package implements a functionality to deal with RabbitMQ Streams using asyncio.

It is designed and implemented with the following qualities in mind:

• asynchronous Pythonic API with type annotations

• use of AMQP 1.0 message format to enable interoperability between RabbitMQ Stream. clients

• auto reconnection to RabbitMQ broker with lazily created connection objects

Support of many RabbitMQ Streams broker features:

• publishing single messages, or in batches, with confirmation

• subscribing to a stream at a specific point in time, from a specific offset, or using offset reference

• stream message filtering

• writing stream offset reference

• message deduplication

• integration with AMQP 1.0 ecosystem at message format level

This package provides a Python implementation of the Mustache templating language renderer.

Pyasn1-modules is a collection of Python modules providing ASN.1 types and implementations of ASN.1-based codecs and protocols.