Small discussion and evaluation of different parsers.
Please keep wiki links as wiki links, use external links only if there is no existing page for the tool.
Name |
Grammar |
Module |
Python |
Comment |
|
C |
|
included in distribution |
|
|
C |
|
lexical analysis module for Python, foundation for Pyrex |
|
GLR |
Python |
|
|
|
LL(1) |
Python |
1-any, 2-1.5+ |
|
|
LR(1) LALR(1) |
C |
|
|
|
|
|
|
|
|
|
C |
|
bison grammar with python code actions |
|
LR |
|
1.5.1+ |
|
|
SLR LALR(1) |
Python |
|
Python Lex-Yacc |
|
|
|
2.2+ |
|
|
GLR |
C |
2.2+ |
grammar in doc strings |
|
GLR |
Python |
2.2.1 |
|
|
- |
|
2.0+ |
requires mxTextTools |
|
|
Python |
2.0+ |
requires mxTextTools |
|
- |
C |
|
is not exactly a parser like we're used to, but it is a fast text-processing engine |
|
|
Python |
2.2+ |
|
|
LL1+ |
Python |
|
stand-alone tool in Java. Latest version can produce Python code |
|
LR(0) LR(1) SLR LALR(1) |
Python |
2.2+ |
||
|
Python |
|
Object-oriented, Pythonic parsing |
|
LR(1) |
Python |
2.5+ |
||
LL(1) |
Python |
|
uses separate grammar files |
|
|
Python |
|
inspired by pyparsing and boost::spirit |
|
LR(1) |
Python |
2.4+ |
|
|
na |
Python |
2.6+ |
Simple parser using rule defined in BNF format |
|
Any |
Python |
2.6+ |
Recursive descent with full backtracking and optional memoisation (which can handle left recursive grammars). So equivalent to GLR, but based on LL(k) core. |
For faster performance, one may use other parser generator systems and plug them in as modules.
For example:
Spirit (http://spirit.sourceforge.net/) framework for writing EBNF as C++ code
FlexBisonModule (http://www.crsr.net/Software/FBModule.html)
cocktail compiler tools approach
Example of such usage is SeeGramWrap available from Edward C. Jones Python page, which is a heavily revised and upgraded version of the ANTLR C parser that is in cgram (broken link). The lastest verson has been refactored to move some of the complexity from ANTLR to Python.
Martin von Loewis presented a paper at Python10, titled "Towards a Standard Parser Generator" that surveyed the available parser generators for Python.
Ned Batchelder maintains additional information on these and other parsers at Python Parsing Tools.
Books
Complete online textbook, titled "Parsing: A Practical Guide".