Migen FHDL is a Python library that replaces the event-driven paradigm of Verilog and VHDL with the notions of combinatorial and synchronous statements, has arithmetic rules that make integers always behave like mathematical integers, and allows the design's logic to be constructed by a Python program.

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

Radon is a Python tool which computes various code metrics. Supported metrics are:

• raw metrics: SLOC, comment lines, blank lines, &c.

• Cyclomatic Complexity (i.e., McCabe’s Complexity)

• Halstead metrics (all of them)

• the Maintainability Index (a Visual Studio metric)

klaus is a simple, easy-to-set-up git web viewer. It features

• Super easy to set up -- no configuration required

• Syntax highlighting

• Markdown + RestructuredText rendering support

• Pull + push support (Git Smart HTTP)

• Code navigation using Exuberant ctags

Ngesh is a Python library and CLI tool for simulating phylogenetic trees and data. It is intended for benchmarking phylogenetic methods, especially in historical linguistics andstemmatology. The generation of stochastic phylogenetic trees also goes by the name simulationmethods for phylogenetic trees, synthetic data generation, or just phylogenetic tree simulation.

Pyxel is a game engine inspired by retro gaming consoles. It has a fixed 16-color palette, can hold up to 3 image banks and 8 tilemaps (256x256 pixels each) and 4 sound channels with 64 definable sounds. It also comes with a built-in image and sound editor.

This package provides a way to record and replay device descriptions and events, making it possible to emulate input devices through the Linux kernel's input system. Emulated devices are for most practical purposes indistinguishable from real devices.

It provides a command line program and also a Python library.

The cliff framework allows creating multi-level commands such as those of subversion and git, where the main program handles some basic argument parsing and then invokes a sub-command to do the work. It uses plugins to define sub-commands, output formatters, and other extensions.

The cliff framework allows creating multi-level commands such as those of subversion and git, where the main program handles some basic argument parsing and then invokes a sub-command to do the work. It uses plugins to define sub-commands, output formatters, and other extensions.

QuTiP is a library for simulating the dynamics of closed and open quantum systems. It aims to provide numerical simulations of a wide variety of quantum mechanical problems, including those with Hamiltonians and/or collapse operators with arbitrary time-dependence, commonly found in a wide range of physics applications.

This tool implements quantile normalization. It properly resolves rank ties, which is important when ties happen frequently, such as when working with discrete numbers (integers) in count tables. This implementation should be relatively fast, and can use multiple cores to sort the columns and tie-resolvement is accelerated by numba.

Mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. This library is now part of Python (since Python 3.3), available via the unittest.mock module.

pyABF is a Python package for reading electrophysiology data from ABF files. It was created with the goal of providing a Pythonic API to access the content of ABF files which is so intuitive to use (with a predictive IDE) that documentation is largely unnecessary.

PyAMG is a Python library of Algebraic Multigrid (AMG) solvers. It features implementations of:

• Ruge-Stuben (RS) or Classical AMG

• AMG based on Smoothed Aggregation (SA)

• Adaptive Smoothed Aggregation (αSA)

• Compatible Relaxation (CR)

• Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.

This package provides tools to convert files in the format used by multiple Spanish banks (standard 43 of the Spanish Banking Council [CSB43] / Spanish Banking Association [AEB43]) to other formats.

Supported output formats are: OFX, HomeBank CSV, HTML, JSON, ODS (OpenDocument spreadsheet), CSV, TSV, XLS, XLSX (Microsoft Excel spreadsheet), and YAML.

This package provides tools to convert files in the format used by multiple Spanish banks (standard 43 of the Spanish Banking Council [CSB43] / Spanish Banking Association [AEB43]) to other formats.

Supported output formats are: OFX, HomeBank CSV, HTML, JSON, ODS (OpenDocument spreadsheet), CSV, TSV, XLS, XLSX (Microsoft Excel spreadsheet), and YAML.

MAPIE allows you to easily estimate prediction intervals (or prediction sets) using your favourite scikit-learn-compatible model for single-output regression or multi-class classification settings.

Prediction intervals output by MAPIE encompass both aleatoric and epistemic uncertainties and are backed by strong theoretical guarantees thanks to conformal prediction methods intervals.

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.

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.

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.

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.