pyparsing
parser
| pyparsing | parser | |
|---|---|---|
| 13 | 4 | |
| 2,100 | 5 | |
| 1.4% | - | |
| 8.3 | 7.7 | |
| about 1 month ago | 23 days ago | |
| Python | TypeScript | |
| MIT License | MIT License |
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pyparsing
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Pyparsing 3.1.0 released
After over a year since the last release of pyparsing, I've bundled up all the bug-fixes and changes, and they are now released as pyparsing 3.1.0. Visit this link for the details.
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Need help developing an interpreter
Look into "parser combinators" for building an interpreter. There's a few ones out there, but PyParsing is one I've seen around that looks pretty nifty.
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About a month ago I posted about PRegEx, an open-source project which I had started that you can use to build RegEx patterns programmatically, which the subreddit seem to like. This prompted me to keep working on it, and one month later, PRegEx v2.0.0 is out!
I havent found a way to specify an exact character match in pyparsing - https://github.com/pyparsing/pyparsing/discussions/443
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Python toolkits
STDOUT: Lark or pyparsing
- TatSu takes grammars in variation of EBNF, outputs memoizing Python PEG parsers
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Parser Combinators in Haskell
Since it is not mentioned in the article: Python users may also want to check out pyparsing [0]. It is slightly different from Parsec/FParsec (for instance, it ignores all whitespace by default), but I think it is a really good project.
[0]: https://github.com/pyparsing/pyparsing/
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Pyparsing 3.0.x - off to a rocky start, but I think 3.0.6 looks fairly solid
Here is the page of all the new changes and features in pyparsing 3.0.
- luna is a Domain specific language that translates to regex. It's an attempt to make regex more readable.
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Recommended way to read and parse a couple thousand small files
Your pyparsing parser might benefit from a tune-up. This page has some performance tips: https://github.com/pyparsing/pyparsing/wiki/Performance-Tips.
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Script for extracting info from a SQL File
If your SQL has fairly complex structure, you will need a full blown SQL parser. If your statements are mostly simple select, you can get pretty close with Pyparsing, here is an example.
parser
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Ramda: A practical functional library for JavaScript programmers
I find straight forward, dedicated combinators much more readable and practical to use ie. for iterables (context where it makes a lot of sense) [0] example [1], runtime assertions (through refutations, which are much faster than combinators over assertions) [2], parser combinators for smallish grammars [3] etc.
In many cases vanilla/imperative js is more readable and terse, no need to bring functional fanaticism everywhere, just in places where it gives true benefits and in form that can be understood by peers.
Functional code can be beautiful and can also be unreadable/undebugable. Same with imperative code. It's great in js/ts you can pick approach where the problem is expressed more naturally and mix it at will.
[0] https://github.com/preludejs/generator
[1] https://observablehq.com/@mirek/project-euler
[2] https://github.com/preludejs/refute
[3] https://github.com/preludejs/parser
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Parsing Text with Nom
Parser combinators are great, we're using parser combinators in production, they are great ie. for typescript [0].
[0] https://github.com/preludejs/parser
- Parser Combinators in Haskell
- Casual Parsing in JavaScript
What are some alternatives?
parsita - The easiest way to parse text in Python
instaparse
iregex - A way to write regex with objects instead of strings.
assert-combinators - Functional assertion combinators.
attoparsec - A fast Haskell library for parsing ByteStrings
three-pass-compiler - Solution to the Three Pass Compiler kata on CodeWars, parsing and manipulating a very simple AST
sly - Sly Lex Yacc
parser-combinators - Parser combinators.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
angstrom - Parser combinators built for speed and memory efficiency
httpaf - A high performance, memory efficient, and scalable web server written in OCaml