Stand-alone Assertions for Python
Python-htmlgen is a library to generate HTML from classes.
Backport of funcsigs which was introduced in Python 3.3.
The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.
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.
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.
Numarray is an (OBSOLETE) array processing package designed to efficiently manipulate large multi-dimensional arrays. Numarray is modelled after Numeric and features c-code generated from python template scripts, the capacity to operate directly on arrays in files, and improved type promotions. Numarray provides support for manipulating arrays consisting of numbers, strings, records, or objects using the same basic infrastructure and syntax. Numarray is now part of the numpy package, though some legacy software still uses the older versions.
The goal of pathlib2 is to provide a backport of standard pathlib module which tracks the standard library module, so all the newest features of the standard pathlib can be used also on older Python versions.
Pathlib offers a set of classes to handle file system paths. It offers the following advantages over using string objects:
No more cumbersome use of os and os.path functions. Everything can be done easily through operators, attribute accesses, and method calls.
Embodies the semantics of different path types. For example, comparing Windows paths ignores casing.
Well-defined semantics, eliminating any inconsistencies or ambiguities (forward vs. backward slashes, etc.).
Python bindings for GLib, GObject, and GIO.
Unittest2 is a replacement for the unittest module in the Python standard library.
bx-python provides tools for manipulating biological data, particularly multiple sequence alignments.
Pycparser is a complete parser of the C language, written in pure Python using the PLY parsing library. It parses C code into an AST and can serve as a front-end for C compilers or analysis tools.
The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.
Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. It aims to provide selecting, matching, and filtering using modern CSS selectors. Soup Sieve currently provides selectors from the CSS level 1 specifications up through the latest CSS level 4 drafts and beyond (though some are not yet implemented).
Parallel Python module (PP) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. PP module features cross-platform portability and dynamic load balancing. Thus applications written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other applications with variable CPU loads).
Batch-oriented version of WebQTL. It requires, as input, expression data from members of a set of recombinant inbred lines and genotype information for the same lines. It searches for an association between each expression trait and all genotypes and evaluates that association by a permutation test. For the permutation test, it performs only as many permutations as are necessary to define the empirical P-value to a reasonable precision. It also performs bootstrap resampling to estimate the confidence region for the location of a putative QTL.
Pytest-cov produces coverage reports. It supports centralised testing and distributed testing in both load and each modes. It also supports coverage of subprocesses.