STPSF produces simulated PSFs for the James Webb Space Telescope, NASA's flagship infrared space telescope. STPSF can simulate images for any of the four science instruments plus the fine guidance sensor, including both direct imaging, coronagraphic, and spectroscopic modes.

Nose2 is the next generation of nicer testing for Python, based on the plugins branch of unittest2. Nose2 aims to improve on nose by providing a better plugin api, being easier for users to configure, and simplifying internal interfaces and processes.

geopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources.

Clang is a compiler front end for the C, C++, Objective-C and Objective-C++ programming languages. It uses LLVM as its back end. The Clang project includes the Clang front end, the Clang static analyzer, and several code analysis tools.

Clang is a compiler front end for the C, C++, Objective-C and Objective-C++ programming languages. It uses LLVM as its back end. The Clang project includes the Clang front end, the Clang static analyzer, and several code analysis tools.

Clang is a compiler front end for the C, C++, Objective-C and Objective-C++ programming languages. It uses LLVM as its back end. The Clang project includes the Clang front end, the Clang static analyzer, and several code analysis tools.

Clang is a compiler front end for the C, C++, Objective-C and Objective-C++ programming languages. It uses LLVM as its back end. The Clang project includes the Clang front end, the Clang static analyzer, and several code analysis tools.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.

This package allows you to interact from a Python program with the i3 window manager via its IPC socket. It can send commands and other kinds of messages to i3, select the affected containers, filter results and subscribe to events.

Python-flint is a Python extension module wrapping FLINT (Fast Library for Number Theory) and Arb (arbitrary-precision ball arithmetic). It supports integers, rationals, modular integers, real and complex ball arithmetic, polynomials and matrices over all these types and other mathematical functions.

This package contains the shared libraries and Python modules of Ren'py. While functional, they are not meaningful on their own without the launcher and common Ren'py code provided by the renpy package and are only used to bootstrap it.

This package provides a collection of basic programming tools for numerical computation, including Fast Fourier Transforms, Spherical Harmonic Transforms, non-equispaced Fourier transforms, as well as some concrete applications like 4pi convolution on the sphere and gridding/degridding of radio interferometry data.

Click is a Python package for creating command line interfaces in a composable way with as little code as necessary. Its name stands for "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box.

This package provides a Python wrapper for using extended file system attributes. Extended attributes extend the basic attributes of files and directories in the file system. They are stored as name:data pairs associated with file system objects (files, directories, symlinks, etc).

Click is a Python package for creating command line interfaces in a composable way with as little code as necessary. Its name stands for "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box.

This package provides Python bindings to the UCSC Big Binary (bigWig/bigBed) file library. This provides read-level access to local and remote bigWig and bigBed files but no write capabilitites. The main feature is fast retrieval of range queries into numpy arrays.

eliot is a Python logging system that outputs causal chains of actions: actions can spawn other actions, and eventually they either succeed or fail. The resulting logs tell you the story of what your software did: what happened, and what caused it.

The goal of Scour is to output a file that renders identically at a fraction of the size by removing a lot of redundant information created by most SVG editors. Optimization options are typically lossless but can be tweaked for more aggressive cleaning.

sc3nb is a Python package that offers a SuperCollider3 interface, with special support to be used within Jupyter notebooks. It establishes shortcuts and familiar functions used by sclang to make it easier to interactively try sound synthesis and sonification development.

Click is a Python package for creating command line interfaces in a composable way with as little code as necessary. Its name stands for "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box.

This package implement functionality for computation of non-thermal radiation from relativistic particle populations. It includes tools to perform MCMC fitting of radiative models to X-ray, GeV, and TeV spectra using emcee, an affine-invariant ensemble sampler for Markov Chain Monte Carlo.

PyEphem provides an ephem Python package for performing high-precision astronomy computations.

The name ephem is short for the word ephemeris, which is the traditional term for a table giving the position of a planet, asteroid, or comet for a series of dates.

The demes Python package provides an API for defining, parsing, and sharing Demes demographic models. Applications can use demes to parse human-readable Demes YAML files into fully-resolved demographic models. In addition, demes provides convenient data structures to simplify manipulation of demographic models.