McStas is a tool for carrying out Monte Carlo ray-tracing simulations of neutron scattering instruments with high complexity and precision. The simulations can compute all aspects of the performance of instruments and can thus be used to optimize the use of existing equipment, design new instrumentation, and carry out virtual experiments for e.g. training, experimental planning or data analysis.

RIME is the acronym of Rime Input Method Engine.

This package contains codecs for transliterating ISO 10646 texts into best-effort representations using smaller coded character sets (ASCII, ISO 8859, etc.). The translation tables used by the codecs are from the 'transtab' collection by Markus Kuhn.

WTForms-Alchemy provides a helper class that let you create a Form class from a SQLAlchemy model. It does not try to replace all the functionality of wtforms.ext.sqlalchemy, only the model_form function of wtforms.ext.sqlalchemy by a much better solution. Other functionality of ext.sqlalchemy such as QuerySelectField and QuerySelectMultipleField can be used along with WTForms-Alchemy.

Proj and invproj perform respective forward and inverse transformation of cartographic data to or from Cartesian data with a wide range of selectable projection functions (over 100 projections).

pyDataverse provides a comprehensive Python interface for interacting with Dataverse's APIs, facilitating the manipulation, validation, import, and export of all Dataverse data-types, including Dataverses, Datasets, and Datafiles. Whether it's for importing large volumes of data into Dataverse, testing instances post-deployment, or executing basic API calls, pyDataverse streamlines these processes. Its fully Open Source license ensures it is accessible for everyone to use. Features include a comprehensive API wrapper covering all Dataverse API endpoints, data models for key Dataverse data types, data conversion tools for Dataverse's JSON format, easy mass imports/exports through CSV templates, utility functions, documented examples, custom exceptions, and a test suite. This module supports Python 3.6 and newer versions, making it a versatile tool for developers working with Dataverse.