This package contains Python classes generated from the common protos in the googleapis/api-common-protos repository.

This package provides a Tryton module that adds the fundamentals required to analyse accounting using multiple different axes.

This extension allows you to use Python 3 annotations for documenting acceptable argument types and return value types of functions.

This package provides functions for route planning, that is finding sequences that lead from a given start lanelet to some goal lanelet(s).

The nipype1-workflows repository contains legacy workflows from Nipype 1.x, showcasing nearly a decade of development in neuroimaging data processing and analysis.

This package contains a simple plugin for the pytest framework that provides a shortcut to testing all code and documentation for a given sub-package.

This package provides ASDF schemas for validating coordinates tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.

Zope.component represents the core of the Zope Component Architecture. Together with the zope.interface package, it provides facilities for defining, registering and looking up components.

This package provides a Tryton module that introduces the concept of Purchase Requests which are central points to collect purchase requests generated by other process from Tryton.

This package provides a Python API to easily integrate Sphinx documentation into your web application. It provides tools to integrate Sphinx documents in web templates and to handle searches.

Pytest Helpers Namespace Plugin provides a helpers pytest namespace which can be used to register helper functions without requiring someone to import them in their actual tests to use them.

This package lets you generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF. Each scale is a scientific Python Xarray spatial-image Dataset, organized into nodes of an Xarray Datatree.

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.

Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.

Openapi-schema-validator is a Python library that validates a schema against:

• OpenAPI Schema Specification v3.0 which is an extended subset of the JSON Schema Specification Wright Draft 00.

• OpenAPI Schema Specification v3.1 which is an extended superset of the JSON Schema Specification Draft 2020-12.

PEP-484 stubs for django-rest-framework.

Community maintained hooks for PyInstaller

Bootstrap themed components for use in Plotly Dash.

Zope.testrunner provides a script for running Python tests.

Bootstrap themed components for use in Plotly Dash.

Use git repo data for building a version number according PEP-440.

Zope.exceptions provides general-purpose exception types that have uses outside of the Zope framework.

Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.

StackTrace is a Robot Framework listener that prints a stack trace directly to the terminal to ease debugging.