Python front-end in charge of orchestrating the execution a Melissa based study. It automatically handles large-scale scheduler interactions in OpenMPI and with common cluster schedulers (e.g. slurm or OAR).

This is a PEP 561 type stub package for the orjson package. It can be used by type-checking tools like mypy, PyCharm, pytype etc. to check code that uses orjson.

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible.

MAGIC is an interactive tool to impute missing values in single-cell sequencing data and to restore the structure of the data. It also provides data pre-processing functionality such as dimensionality reduction and gene expression visualization.

This package provides a client library for building applications to work with OpenStack clouds. The SDK aims to provide a consistent and complete set of interactions with OpenStack’s many services, along with complete documentation, examples, and tools.

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.

The flufl.bounce library provides a set of heuristics and an API for detecting the original bouncing email addresses from a bounce message. Many formats found in the wild are supported, as are VERP and RFC 3464.

PyQt-builder is a tool for generating Python bindings for C++ libraries that use the Qt application framework. The bindings are built on top of the PyQt bindings for Qt. PyQt-builder is used to build PyQt itself.

This module is primarily a backport of the Python 3.2 contextlib to earlier Python versions. Like contextlib, it provides utilities for common tasks involving decorators and context managers. It also contains additional features that are not part of the standard library.

GraphQL implementation for Python. GraphQL is a data query language and runtime designed and used to request and deliver data to mobile and web apps. This library is a port of graphql-js to Python.

The EditorConfig project consists of a file format for defining coding styles and a collection of text editor plugins that enable editors to read the file format and adhere to defined styles. EditorConfig files are easily readable and they work nicely with version control systems.

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.

launchpadlib is an open-source Python library that lets you treat the HTTP resources published by Launchpad's web service as Python objects responding to a standard set of commands. With launchpadlib you can integrate your applications into Launchpad without knowing a lot about HTTP client programming.

cryptography is a package which provides cryptographic recipes and primitives to Python developers. It aims to be the “cryptographic standard library” for Python. The package includes both high level recipes, and low level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests and key derivation functions.

When writing applications, finding the right location to store user data and configuration varies per platform. Even for single-platform apps, there may by plenty of nuances in figuring out the right location. This small Python module determines the appropriate platform-specific directories, e.g. the ``user data dir''.

Keyrings in this package may have security risks or other implications. These backends were extracted from the main keyring project to make them available for those who wish to employ them, but are discouraged for general production use. Include this module and use its backends at your own risk.

Scikit-build is an improved build system generator for CPython C/C++/Fortran/Cython extensions. It has support for additional compilers, build systems, cross compilation, and locating dependencies and determining their build requirements. The scikit-build package is fundamentally just glue between the setuptools Python module and CMake.

This package provides a full Python driver for the Keithley 2600B series of source measurement units. This driver provides access to base commands and higher level functions such as IV measurements, transfer and output curves, etc. Base commands replicate the functionality and syntax from the Keithley's internal TSP Lua functions.

TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:

• A standardized interface to increase reproducibility

• Reduces boilerplate

• Automatic accumulation over batches

• Metrics optimized for distributed-training

• Automatic synchronization between multiple devices

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

This package provides mock helpers for SQLAlchemy that makes it easy to mock an SQLAlchemy session while preserving the ability to do asserts.

Normally Normally SQLAlchemy's expressions cannot be easily compared as comparison on binary expression produces yet another binary expression, but this library provides functions to facilitate such comparisons.

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.