typogrify provides a set of custom filters that automatically apply various transformations to plain text in order to yield typographically-improved HTML. While often used in conjunction with Jinja and Django template systems, the filters can be used in any environment.

This package provides liblabjackusb, a USB library for low-level communication with the U3, U6, UE9, Digit, T4 and T7 LabJack data acquisition instruments. A udev rule is also included to allow unprivileged users to communicate with the instruments via USB.

Create a Sphinx documentation shell for your project and include the README file as the documentation index. It handles extracting the required meta data such as the project name, author and version from your project for use in your Sphinx docs.

The mistletoe Markdown parser is a CommonMark-compliant Markdown parser that supports definitions of custom tokens.

Parsing Markdown into an abstract syntax tree also allows mistletoe to swap out renderers for different output formats, without touching any of the core components.

Cairocffi is a CFFI-based drop-in replacement for Pycairo, a set of Python bindings and object-oriented API for cairo. Cairo is a 2D vector graphics library with support for multiple backends including image buffers, PNG, PostScript, PDF, and SVG file output.

This package includes an extension for the Python library asdf to add support for reading and writing chunked Zarr arrays, a file storage format for chunked, compressed, N-dimensional arrays based on an open-source specification.

BenchExec is a framework for reliable benchmarking, which takes care of important low-level details for accurate, precise, and reproducible measurements. In particular, it makes use of cgroups, kernel namespaces, and overlay filesystems to restrict interference of the executed tool with the benchmarking host.

GuardPost is a framework to handle authentication and authorization in asynchronous Python applications.

Its features include

• Strategy to implement authentication.

• Strategy to implement authorization.

• Support for dependency injection

• Built-in support for JSON Web Tokens (JWTs) authentication.

The aim of the decorator module is to simplify the usage of decorators for the average programmer, and to popularize decorators usage giving examples of useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc. The core of this module is a decorator factory.

The goal of sre_yield is to efficiently generate all values that can match a given regular expression, or count possible matches efficiently. It uses the parsed regular expression, so you get a much more accurate result than trying to just split strings.

pyRiemann is a Python machine learning package based on scikit-learn API. It provides a high-level interface for processing and classification of real (resp. complex)-valued multivariate data through the Riemannian geometry of symmetric (resp. Hermitian) positive definite (SPD) (resp. HPD) matrices.

NiReports contains the two main components of the visual reporting system of NiPreps: 1) reportlets, visualizations for assessing the quality of a particular processing step within the neuroimaging pipeline, and 2) assemblers, end-user write out reportlets to a predetermined folder.

The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.

This library supports the building of wheels which, when installed, will expose packages in a local directory on sys.path in ``editable mode''. In other words, changes to the package source will be reflected in the package visible to Python, without needing a reinstall.

This package provides a fast and complete Python implementation of Markdown. It was written to closely match the behaviour of the original Perl-implemented Markdown.pl. It also comes with a number of extensions (called extras) for things like syntax coloring, tables, header-ids.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

This Asynchronous Server Gateway Interface (ASGI) middleware protects against Cross-site request forgery (CSRF) attacks. It implements the Double Submit Cookie pattern, where a cookie is set that is then compared to a csrftoken hidden form field or a x-csrftoken HTTP header.

pyTooling is a collection of (abstract) data models, lacking classes, decorators, a new performance boosting meta-class, and enhanced exceptions. It also provides lots of helper functions---e.g., to ease the handling of package descriptions or to unify multiple existing APIs into a single API.

This module provides a Python interface to pkg-config. It can be used to find all pkg-config packages, check if a package exists, check if a package meets certain version requirements, query CFLAGS and LDFLAGS and parse the output to build extensions with setup.py.

This module performs conversions between Python values and C bit field structs represented as Python byte strings. It is intended to have a similar interface as the struct module from Python, but working on bits instead of primitive data types like char, int, etc.

autoflake removes unused imports and unused variables from Python code as reported by pyflakes.

By default, it only removes unused imports for modules that are part of the standard library. Removal of unused variables is also disabled by default. It also removes useless pass statements.

This package implements a CAN matrix object in Python which describes the CAN-communication and its needed objects such as board units, frames, signals, and values. It also includes two command-line tools (canconvert and cancompare) for converting and comparing CAN databases.

NARPS Open Pipelines is a project aimed at reproducing the 70 pipelines from the NARPS study (Botvinik-Nezer et al., 2020) and sharing them as an open resource for the community. It uses Nipype for workflow management and provides templates to facilitate the reproduction of neuroimaging analyses.

Splicekit is a modular platform for splicing analysis from short-read RNA-seq datasets. The platform also integrates pybio for genomic operations and scanRBP for RNA-protein binding studies. The whole analysis is self-contained (one single directory) and the platform is written in Python, in a modular way.