Islenska is a Python package that embeds the vocabulary of the Database of Icelandic Morphology and offers various lookups and queries of the data. The database contains over 6.5 million entries, over 3.1 million unique word forms, and about 300,000 distinct lemmas.

Plotnine is a Python implementation of the Grammar of Graphics. It is a powerful graphics concept for creating plots and visualizations in a structured and declarative manner. It is inspired by the R package ggplot2 and aims to provide a similar API and functionality in Python.

This package lets you read image and metadata from many bio-scientific formats such as plain TIFF, BigTIFF, OME-TIFF, STK, LSM, SGI,NIH, ImageJ, MicroManager, MD GEL, and FluoView files. It also lets you write numpy arrays to TIFF, BigTIFF, and ImageJ hyperstack compatible files.

This package lets you read image and metadata from many bio-scientific formats such as plain TIFF, BigTIFF, OME-TIFF, STK, LSM, SGI,NIH, ImageJ, MicroManager, MD GEL, and FluoView files. It also lets you write numpy arrays to TIFF, BigTIFF, and ImageJ hyperstack compatible files.

pykakasi is a Python Natural Language Processing NLP library to transliterate hiragana, katakana and kanji (Japanese text) into rōmaji (Latin/Roman alphabet). It can handle characters in NFC form.

Its algorithms are based on the kakasi library, which is written in C.

This package provides a Python high-level interface and ctypes-based bindings for PulseAudio (libpulse), to use in simple synchronous code. This wrapper is mostly for mixer-like controls and introspection-related operations, as opposed to e.g. submitting sound samples to play and player-like clients.

Clintest is a framework for unit testing clingo programs. It provides various components to assemble the most commonly used tests quickly, but also works fine along custom-built test. Clintest monitors the test outcome while solving to abort the search for solutions once the outcome is certain.

autopep8 automatically formats Python code to conform to the PEP 8 style guide. It uses the pycodestyle utility to determine what parts of the code needs to be formatted. autopep8 is capable of fixing most of the formatting issues that can be reported by pycodestyle.

One of the most advanced WSGI utility modules. It includes a powerful debugger, full-featured request and response objects, HTTP utilities to handle entity tags, cache control headers, HTTP dates, cookie handling, file uploads, a powerful URL routing system and a bunch of community-contributed addon modules.

One of the most advanced WSGI utility modules. It includes a powerful debugger, full-featured request and response objects, HTTP utilities to handle entity tags, cache control headers, HTTP dates, cookie handling, file uploads, a powerful URL routing system and a bunch of community-contributed addon modules.

Queuelib is a Python library that implements object collections which are stored in memory or persisted to disk, provide a simple API, and run fast.

Queuelib provides collections for queues (FIFO), stacks (LIFO), queues sorted by priority and queues that are emptied in a round-robin fashion.

ofxparse is a parser for Open Financial Exchange (.ofx) format files. OFX files are available from almost any online banking site, so they work well if you want to pull together your finances from multiple sources. Online trading accounts also often provide account statements in OFX files.

One of the most advanced WSGI utility modules. It includes a powerful debugger, full-featured request and response objects, HTTP utilities to handle entity tags, cache control headers, HTTP dates, cookie handling, file uploads, a powerful URL routing system and a bunch of community-contributed addon modules.

genomepy is designed to provide a simple and straightforward way to download and use genomic data. This includes

1. searching available data,

2. showing the available metadata,

3. automatically downloading, preprocessing and matching data, and

4. generating optional aligner indexes.

All with sensible, yet controllable defaults.

This is a Python library that aims at making tensor learning simple and accessible. It allows performing tensor decomposition, tensor learning and tensor algebra easily. Its backend system allows seamlessly perform computation with NumPy, PyTorch, JAX, MXNet, TensorFlow or CuPy and run methodxs at scale on CPU or GPU.

tinycss2 can parse strings, return Python objects representing tokens and blocks, and generate CSS strings corresponding to these objects.

Based on the CSS Syntax Level 3 specification, tinycss2 knows the grammar of CSS but doesn’t know specific rules, properties or values supported in various CSS modules.

This Python library provides a recursive descent parser with backtracking and memoization (a.k.a. packrat parser). Arpeggio grammars are based on PEG formalism. Arpeggio's main use is a foundation for a toolchain for DSL development but it can be used for all sorts of general purpose parsing.

SDCFlows (Susceptibility Distortion Correction workFlows) is a Python library of NiPype-based workflows to preprocess B0 mapping data, estimate the corresponding fieldmap and finally correct for susceptibility distortions. Susceptibility-derived distortions are typically displayed by images acquired with EPI MR schemes.

Pyliblo is a Python wrapper for the liblo Open Sound Control (OSC) library. It supports almost the complete functionality of liblo, allowing you to send and receive OSC messages using a nice and simple Python API. Also included are the command line utilities send_osc and dump_osc.

PETSc, the Portable, Extensible Toolkit for Scientific Computation, is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for all message-passing communication. petsc4py provides Python bindings to almost all functions of PETSc.

This library provides a publish-subscribe API to facilitate event-based or message-based architecture in a single-process application. It is centered on the notion of a topic - senders publish messages of a given topic, and listeners subscribe to messages of a given topic, all inside the same process.

This package provides an implementation of the Web Application Messaging Protocol (WAMP). WAMP connects components in distributed applications using Publish and Subscribe (PubSub) and routed Remote Procedure Calls (rRPC). It is ideal for distributed, multi-client and server applications such as IoT applications or multi-user database-driven business applications.

Billiard is a fork of the Python 2.7 multiprocessing package. The multiprocessing package itself is a renamed and updated version of R Oudkerk's pyprocessing package. This standalone variant is intended to be compatible with Python 2.4 and 2.5, and will draw its fixes/improvements from python-trunk.

formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations like Patsy or formulaic is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively).