Flaky is a plugin for nose or py.test that automatically reruns flaky tests.

Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to @skip, they can be automatically retried.

Yapsy, or Yet Another Plugin SYstem, is a small library implementing the core mechanisms needed to build a plugin system into a wider application.

The main purpose is to depend only on Python's standard libraries and to implement only the basic functionalities needed to detect, load and keep track of several plugins.

PYHDF4 is a python wrapper around the NCSA HDF version 4 library, which implements the SD (Scientific Dataset), VS (Vdata) and V (Vgroup) API’s. NetCDF files can also be read and modified. It is a successor of Python-HDF4 which is a fork of pyhdf.

ObsPy is a project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats, clients to access data centers and seismological signal processing routines which allow the manipulation of seismological time series.

The goal of the ObsPy project is to facilitate rapid application development for seismology.

This module provides an xopen function that works like Python's built-in open function, but can also deal with compressed files. Supported compression formats are gzip, bzip2 and, xz, and are automatically recognized by their file extensions. The focus is on being as efficient as possible on all supported Python versions.

Surfa is a collection of Python utilities for medical image analysis and mesh-based surface processing. It provides tools that operate on 3D image arrays and triangular meshes with consideration of their representation in a world (or scanner) coordinate system. While broad in scope, surfa is developed with particular emphasis on neuroimaging applications.

MMTK is a library for molecular simulations with an emphasis on biomolecules. It provides widely used methods such as Molecular Dynamics and normal mode analysis, but also basic routines for implementing new methods for simulation and analysis. The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.

PyDMD is a Python package designed for Dynamic Mode Decomposition (DMD), a data-driven method used for analyzing and extracting spatiotemporal coherent structures from time-varying datasets. It provides a comprehensive and user-friendly interface for performing DMD analysis, making it a valuable tool for researchers, engineers, and data scientists working in various fields.

This is an easy-to-use implementation of ECDSA cryptography (Elliptic Curve Digital Signature Algorithm), implemented purely in Python. With this library, you can quickly create key pairs (signing key and verifying key), sign messages, and verify the signatures. The keys and signatures are very short, making them easy to handle and incorporate into other protocols.

This is a minimum version for checking the input argument dict. It would examine argument's type, as well as keys and types of its sub-arguments. A special case called variant is also handled, where you can determine the items of a dict based the value of on one of its flag_name key.

This package is a Python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. The mgatk package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays.

SimPy is a process-based discrete-event simulation framework based on standard Python. Processes in SimPy are defined by Python generator functions and can, for example, be used to model active components like customers, vehicles or agents. SimPy also provides various types of shared resources to model limited capacity congestion points (like servers, checkout counters and tunnels).

python-pysox is a wrapper around the sox command line tool. The API offers Transformer and Combiner classes that allow the user to incrementally build up effects and audio manipulations. python-pysox also provides methods for querying audio information such as sample rate, determining whether an audio file is silent, and much more.

Xenon is a monitoring tool based on Radon. It monitors code complexity. Ideally, xenon is run every time code is committed. Through command line options, various thresholds can be set for the complexity of code. It will fail (i.e., it will exit with a non-zero exit code) when any of these requirements is not met.

Param is a library for handling all the user-modifiable parameters, arguments, and attributes that control your code. It provides automatic, robust error-checking while dramatically reducing boilerplate code, letting you focus on what you want your code to do rather than on checking for all the possible ways users could supply inappropriate values to a function or class.

Scapy is a Python library and executable for interactively manipulating network packets. It can forge or decode packets of a number of protocols, send them on the wire, capture them, store or read them using pcap files, match requests and replies, and so on. It can handle tasks such as scanning, tracerouting, probing, unit tests, attacks or network discovery.

python-dpath is a library for accessing and searching dictionaries via /slashed/paths ala xpath.

Basically it lets you glob over a dictionary as if it were a file system. It allows you to specify globs (ala the bash eglob syntax, through some advanced fnmatch.fnmatch magic) to access dictionary elements, and provides some facility for filtering those results.

Lmfit provides a high-level interface to non-linear optimization and curve fitting problems for Python. It builds on and extends many of the optimization methods of scipy.optimize. Initially inspired by (and named for) extending the Levenberg-Marquardt method from scipy.optimize.leastsq, lmfit now provides a number of useful enhancements to optimization and data fitting problems.

Pylru implements a true LRU cache along with several support classes. Pylru provides a cache class with a simple dict interface. It also provides classes to wrap any object that has a dict interface with a cache. Both write-through and write-back semantics are supported. Pylru also provides classes to wrap functions in a similar way, including a function decorator.

This module uses ctypes to access the libmagic file type identification library. It makes use of the local magic database and supports both textual and MIME-type output. Note that this module and the python-file module both provide a "magic.py" file; these two modules, which are different and were developed separately, both serve the same purpose: to provide Python bindings for libmagic.

XDF is a general-purpose container format for multi-channel time series data with extensive associated meta information. XDF is tailored towards biosignal data such as EEG, EMG, EOG, ECG, GSR, MEG, but it can also handle data with high sampling rate (like audio) or data with a high number of channels (like fMRI or raw video). Meta information is stored as XML.

SunPy is package for solar physics and is meant to be a free alternative to the SolarSoft data analysis environment.

It includes an interface for searching and downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames and associated transformations, as well as other functionality needed for solar data analysis.

The aim of Kombu is to make messaging in Python as easy as possible by providing an idiomatic high-level interface for the AMQ protocol, and also provide proven and tested solutions to common messaging problems. AMQP is the Advanced Message Queuing Protocol, an open standard protocol for message orientation, queuing, routing, reliability and security, for which the RabbitMQ messaging server is the most popular implementation.

FabIO is an I/O library for images produced by 2D X-ray detectors and written in Python. FabIO support images detectors from a dozen of companies (including Mar, Dectris, ADSC, Hamamatsu, Oxford, …), for a total of 30 different file formats (like CBF, EDF, TIFF, …) and offers an unified interface to their headers (as a Python dictionary) and datasets (as a numpy ndarray of integers or floats).