This package provides helpers for computing similarities between arbitrary sequences. Included metrics are Levenshtein, Hamming, Jaccard, and Sorensen distance, plus some bonuses. All distance computations are implemented in pure Python, and most of them are also implemented in C.

The goal of pathlib2 is to provide a backport of the standard pathlib module which tracks the standard library module, so all the newest features of the standard pathlib can be used also on older Python versions.

Python scripts to find enrichment of GO terms. In addition, this package is used for processing the obo-formatted file from Gene Ontology website. The data structure is a directed acyclic graph that allows easy traversal from leaf to root.

SLEPc, the Scalable Library for Eigenvalue Problem Computations, is based on PETSc, the Portable, Extensible Toolkit for Scientific Computation. It employs the MPI standard for all message-passing communication. slepc4py provides Python bindings to almost all functions of SLEPc.

PyMCubes is an implementation of the marching cubes algorithm to extract iso-surfaces from volumetric data. The volumetric data can be given as a three-dimensional NumPy array or as a Python function f(x, y, z).

The capturer package makes it easy to capture the stdout and stderr streams of the current process and subprocesses. Output can be relayed to the terminal in real time but is also available to the Python program for additional processing.

Greenlet package is a spin-off of Stackless, a version of CPython that supports micro-threads called "tasklets". Tasklets run pseudo-concurrently (typically in a single or a few OS-level threads) and are synchronized with data exchanges on "channels".

The executor package is a simple wrapper for Python’s subprocess module that makes it very easy to handle subprocesses on UNIX systems with proper escaping of arguments and error checking currently doing, particularly the AST node being executed.

Greenlet package is a spin-off of Stackless, a version of CPython that supports micro-threads called "tasklets". Tasklets run pseudo-concurrently (typically in a single or a few OS-level threads) and are synchronized with data exchanges on "channels".

Composyx is a linear algebra C++ library focused on composability. Its purpose is to allow the user to express a large pannel of algorithms using a high-level interface to range from laptop prototypes to many node supercomputer parallel computations.

Capstone is a lightweight multi-platform, multi-architecture disassembly framework. Capstone can disassemble machine code for many supported architectures such as x86, x86_64, arm, arm64, mips, ppc, sparc, sysz and xcore. It provides bindings for Python, Java, OCaml and more.

tweakwcs is a package that provides core algorithms for computing and applying corrections to WCS objects such as to minimize mismatch between image and reference catalogs. Currently only aligning images with FITS WCS and JWST gWCS are supported.

This Python module adds a @public decorator and function which populates a module's __all__ and optionally the module globals. With it, the declaration of a name's public export semantics are not separated from the implementation of that name.

Venusian is a library which allows framework authors to defer decorator actions. Instead of taking actions when a function (or class) decorator is executed at import time, you can defer the action usually taken by the decorator until a separate scan phase.

This package provides a comprehensive framework for Massive Black Hole binary population synthesis. The framework includes modules to perform population synthesis using a variety of methodologies from semi-analytic models, to cosmological hydrodynamic simulations, and even observationally-derived galaxy merger catalogs.

This is an utility package that helps with editing and concatenating SVG files. It is especially directed at scientists preparing final figures for submission to journals. So far it supports arbitrary placement and scaling of SVG figures and adding markers, such as labels.

This package provides a Python interface for the netCDF4 file-format that reads and writes local or remote HDF5 files directly via https://www.h5py.org/ or https://github.com/HDFGroup/h5pyd, without relying on the Unidata netCDF library.

Do you have time time series data you want to play as music? Of course you do! MIDITime converts any kind of time series data into pitch, velocity and duration values based on musical options that you set up, then outputs a .mid file.

skyfield computes positions for the stars, planets, and satellites in orbit around the Earth. Its results should agree with the positions generated by the United States Naval Observatory and their Astronomical Almanac to within 0.0005 arcseconds (half a mas or milliarcsecond).

Patch NG (New Generation) is a command and Python library to parse and apply unified diffs. It has features such as:

• automatic correction of common patch formatting corruption

• patch format detection (SVN, Hg, Git)

• nice diffstat histogram.

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.

This package consists of Python modules and scripts for manipulating stereolithography (STL) files. It can convert STL files into POV-ray meshes, PDF and PostScript. The Python modules allow for reading and writing STL files. It supports both the text and binary forms of STL.

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.