PyIRI is a Python implementation of the International Reference Ionosphere model. It provides fast, global, and altitude‑dependent evaluation of ionospheric parameters using a new spherical harmonics (SH) architecture. The model supports multiple coordinate systems and efficiently evaluates all grid points and time frames simultaneously.
Traceback serialization allows you to:
Pickle tracebacks and raise exceptions with pickled tracebacks in different processes. This allows better error handling when running code over multiple processes (imagine multiprocessing, billiard, futures, celery etc).
Parse traceback strings and raise with the parsed tracebacks.
GitDB allows you to access bare Git repositories for reading and writing. It aims at allowing full access to loose objects as well as packs with performance and scalability in mind. It operates exclusively on streams, allowing to handle large objects with a small memory footprint.
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
UNSIO ( U niversal N body S napshot I nput O utput) is an API which perform input/output operations in a generic way, and on different kind of nbody files format (nemo, gadget, sqlite3 etc). This package provides unsio itself as well as python wrapper for it.
PySM generates full-sky simulations of Galactic emissions in intensity and polarization relevant to Cosmic Microwave Background experiments. It is a large refactor of PySM 2 focused on reducing memory usage, improving performance and run in parallel with MPI.
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.
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 package provides a Python interface to the LSL. LSL is an overlay network for real-time exchange of time series between applications, most often used in research environments. LSL has clients for many other languages and platforms that are compatible with each other.
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.
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.
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.
Galpy is a Python package for galactic dynamics. It supports orbit integration in a variety of potentials, evaluating and sampling various distribution functions, and the calculation of action-angle coordinates for all static potentials. Galpy is an Astropy affiliated package and provides full support for Astropy’s Quantity framework for variables with units.