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Results 1,2111,220 of 1,719 for /textproc/.(0.005 seconds)
textproc/pugixml-1.7 (Score: 0.068937615)
Light-weight, simple and fast XML parser for C++ with XPath support
pugixml is a light-weight C++ XML processing library. It features: * DOM-like interface with rich traversal/modification capabilities * Extremely fast non-validating XML parser which constructs the DOM tree from an XML file/buffer * XPath 1.0 implementation for complex data-driven tree queries * Full Unicode support with Unicode interface variants and automatic encoding conversions
textproc/php55-5.5.38 (Score: 0.068937615)
The simplexml shared extension for php
textproc/errorhandler-1.1.1 (Score: 0.068937615)
Logging framework handler that tracks when messages above a certain level have been logged
A logging framework handler that tracks when messages above a certain level have been logged. This is a handler for the python standard logging framework that can be used to tell whether messages have been logged at or above a certain level. This can be useful when wanting to ensure that no errors have been logged before committing data back to a database.
textproc/php56-5.6.26 (Score: 0.068937615)
The simplexml shared extension for php
textproc/php56-5.6.26 (Score: 0.068937615)
The wddx shared extension for php
textproc/MarkupSafe-0.23 (Score: 0.068937615)
Implements XML/HTML/XHTML Markup safe string for Python
py-MarkupSafe is a python module that implements a XML/HTML/XHTML Markup safe string.
textproc/Tempita-0.5.2 (Score: 0.068937615)
Small text templating language
Tempita is a small templating language for text substitution. This isn't meant to be the Next Big Thing in templating; it's just a handy little templating language for when your project outgrows string.Template or % substitution. It's small, it embeds Python in strings, and it doesn't do much else.
textproc/acora-2.0 (Score: 0.068937615)
Fast multi-keyword search engine for text strings
Acora is 'fgrep' for Python, a fast multi-keyword text search engine. Based on a set of keywords, it generates a search automaton (DFA) and runs it over string input, either unicode or bytes. It is based on the Aho-Corasick algorithm and an NFA-to-DFA powerset construction. Acora comes with both a pure Python implementation and a fast binary module written in Cython. However, note that the current construction algorithm is not suitable for really large sets of keywords (i.e. more than a couple of thousand).
textproc/agate-dbf-0.1.0 (Score: 0.068937615)
Support reading dbf files for agate
agate-dbf adds read support for dbf files to agate
textproc/agate-excel-0.1.0 (Score: 0.068937615)
Support reading Excel files for agate
agate-excel adds read support for Excel files (xls and xlsx) to agate.