The C code of lrslib implements the reverse search algorithm for vertex enumeration and convex hull problems. Its input file format is compatible with cddlib. All computations are done exactly in either multiple precision or fixed integer arithmetic. Output is not stored in memory, so even problems with very large output sizes can sometimes be solved.

Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furthest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. It handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.

Qhull does not support triangulation of non-convex surfaces, mesh generation of non-convex objects, medium-sized inputs in 9-D and higher, alpha shapes, weighted Voronoi diagrams, Voronoi volumes, or constrained Delaunay triangulations.

Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.

The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It’s based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow.

Certifi is a Python library that contains a CA certificate bundle, which is used by the Requests library to verify HTTPS requests.

The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.

Packaging is a Python module for dealing with Python packages. It offers an interface for working with package versions, names, and dependency information.

This package provides an implementation of importlib.resources for older versions of Python.

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.

Pytest is a testing tool that provides auto-discovery of test modules and functions, detailed info on failing assert statements, modular fixtures, and many external plugins.

Python's built-in itertools module implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML. more-itertools includes additional building blocks for working with iterables.

python2-backports-functools-lru-cache is a backport of functools.lru_cache from Python 3.3.

This library brings functools.singledispatch from Python 3.4 to Python 2.6-3.3.

Python bindings for GLib, GObject, and GIO.

This package provides chardet, a Python module that can automatically detect a wide range of file encodings.

Coverage measures code coverage, typically during test execution. It uses the code analysis tools and tracing hooks provided in the Python standard library to determine which lines are executable, and which have been executed.

This package provides an implementation of importlib.resources for older versions of Python.

This Python library allows reading and writing to the Excel XLSX, XLSM, XLTX and XLTM file formats that are defined by the Office Open XML (OOXML) standard.

Pluggy is an extraction of the plugin manager as used by Pytest but stripped of Pytest specific details.

Nose extends the unittest library to make testing easier.

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. Version 1.8 is the last one to contain the numpy.oldnumeric API that includes the compatibility layer numpy.oldnumeric with NumPy's predecessor Numeric.

Unittest2 is a replacement for the unittest module in the Python standard library.