Ports Search

EmPy is a system for embedding Python expressions and statements in template text; it takes an EmPy source file, processes it, and produces output. This is accomplished via expansions, which are special signals to the EmPy system and are set off by a special prefix (by default the at sign, @). EmPy can expand arbitrary Python expressions and statements in this way, as well as a variety of special forms. Textual data not explicitly delimited in this way is sent unaffected to the output, allowing Python to be used in effect as a markup language. Also supported are callbacks via hooks, recording and playback via diversions, and dynamic, chainable filters. The system is highly configurable via command line options and embedded commands.

PyEnchant is a set of language bindings and some wrapper classes to make the excellent Enchant spellchecker available as a Python module. The bindings are generated using SWIG. It includes all the functionality of Enchant with the flexibility of Python and a nice 'Pythonic' object-oriented interface. It also aims to provide some higher-level functionality than is available in the C API.

Pystache is a Python implementation of Mustache. Inspired by ctemplate and et, Mustache is a framework-agnostic way to render logic-free views.

PyStemmer provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module. It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.

et_xmlfile is a low memory library for creating large XML files. It is based upon the xmlfile module from lxml with the aim of allowing code to be developed that will work with both libraries. It was developed initially for the openpyxl project but is now a standalone module.

You can think of pss as an enhanced grep designed to search inside source code files. pss is very similar to the Perl ack tool (see https://bitbucket.org/eliben/pss/wiki/PssAndAck).

pyExcelerator is a Python library that can generate Excel 97+ files and import Excel 95+ files. It supports Unicode in Excel files, and can use a variety of formatting features and printing options. It can dump Excel and OLE2 compound files.

Universal Feed Parser is a Python module for downloading and parsing syndicated feeds. It can handle RSS 0.90, Netscape RSS 0.91, Userland RSS 0.91, RSS 0.92, RSS 0.93, RSS 0.94, RSS 1.0, RSS 2.0, Atom 0.3, Atom 1.0, and CDF feeds. Universal Feed Parser is easy to use; the module is self-contained in a single file, feedparser.py, and it has one primary public function, parse. parse takes a number of arguments, but only one is required, and it can be a URL, a local filename, or a raw string containing feed data in any format.

Genshi is a Python library that provides an integrated set of components for parsing, generating, and processing HTML, XML or other textual content for output generation on the web. The major feature is a template language, which is heavily inspired by Kid.