Zope Internationalization Support

Collection of library stubs for Python, with static types.

The Zope publisher publishes Python objects on the web.

Python bindings to the Tree-sitter parsing library.

Collection of library stubs for Python, with static types.

This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project.

Flexible test automation.

Generic transparent proxies via a C extension module.

Implementation of bencode with optional fast C extensions

This pakage provides runtime validators for attrs.

The concurrent.futures module provides a high-level interface for asynchronously executing callables. This package backports the concurrent.futures package from Python 3.2

The runtime library msrest for AutoRest generated Python clients.

This package provides a library and command-line tool for generating Github-style badges

RestrictedPython is a defined subset of the Python language which allows to provide a program input into a trusted environment.

Python client library for Core API.

Shared Zope Toolkit browser components

This package provides a streaming multipart parser for Python.

Grok-like configuration for basic components (adapters, utilities, subscribers).

Mirakuru - a Python library that starts your subprocess and waits for a clear indication, that it's running (process orchestrator).

Core component suite for Dash

Redis fixtures and fixture factories for Pytest. This is a pytest plugin, that enables you to test your code that relies on a running Redis database. It allows you to specify additional fixtures for Redis process and client.

Collection of library stubs for Python, with static types.

Layers for zope.testing to simplify test setups.

Plots, scatter plots, histograms and heatmaps in the terminal using braille dots, and foreground and background colors - with (almost) no dependancies. Make complex figures using the Figure class or make fast and simple plots using graphing function - similar to a very small sibling to matplotlib. Or use the canvas to plot dots, lines and images yourself.