Python Outlook-backup-parser Resources

A fast HTML5 parser with CSS selectors using Modest engine. Installation From PyPI using pip: pip install selectolax Development version from github:

http-parser HTTP request/response parser for Python compatible with Python 2.x (=2.7), Python 3 and Pypy. If possible a C parser based on http-parser

httptools is a Python binding for the nodejs HTTP parser. The package is available on PyPI: pip install httptools. APIs httptools contains two classes

python-sqlparse - Parse SQL statements sqlparse is a non-validating SQL parser for Python. It provides support for parsing, splitting and formatting S

Name Parser A simple Python (3.2+ & 2.6+) module for parsing human names into their individual components. hn.title hn.first hn.middle hn.last hn.suff

PyParsing -- A Python Parsing Module Introduction The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the t

html2text html2text is a Python script that converts a page of HTML into clean, easy-to-read plain ASCII text. Better yet, that ASCII also happens to

Python-Markdown This is a Python implementation of John Gruber's Markdown. It is almost completely compliant with the reference implementation, though

Mistune v2 A fast yet powerful Python Markdown parser with renderers and plugins. NOTE: This is the re-designed v2 of mistune. Check v1 branch for ear

python-rapidjson Python wrapper around RapidJSON Authors: Ken Robbins [email protected] Lele Gaifax [email protected] License: MIT License Sta

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

NOTE This project is no longer under active development since there are now really nice pure Python parsers such as Stanza and Spacy. The repository w

Frog for Python This is a Python binding to the Natural Language Processing suite Frog. Frog is intended for Dutch and performs part-of-speech tagging

S3cmd tool for Amazon Simple Storage Service (S3) Author: Michal Ludvig, [email protected] Project homepage (c) TGRMN Software and contributors S3tools