ltratt/parse-rosetta-rs

Comparing parser APIs

Rust Parsing Benchmarks

This repo tries to assess Rust parsing performance.

crate	parser type	action code	integration	input type	precedence climbing	parameterized rules	streaming input
chumsky	combinators	in source	library	&str	?	?	?
combine	combinators	in source	library	&str	?	?	?
lalrpop	LR(1)	in grammar	build script	&str	No	Yes	No
logos	lexer	in source	proc macro	&str, &[u8]	?	?	?
nom	combinators	in source	library	&[u8], custom	No	Yes	Yes
peg	PEG	in grammar	proc macro (block)	&str, &[T], custom	Yes	Yes	No
pest	PEG	external	proc macro (file)	&str	Yes	No	No
winnow	combinators	in source	library	&str, &[T], custom	No	Yes	Yes
yap	combinators	in source	library	&str, &[T], custom	No	Yes	?

Formerly, we compared:

• pom: lack of notoriety

Results

Name	Overhead (release)	Build (debug)	Parse (release)	Downloads	Version
null	0 KiB	205ms	4ms	-	-
chumsky	665 KiB	6s	367ms		v0.4.0
logos	170 KiB	5s	17ms		v0.4.0
combine	204 KiB	4s	49ms		v3.8.1
lalrpop	1,615 KiB	11s	880ms		v0.20.0
nom	99 KiB	2s	66ms		v7.1.3
peg	21 KiB	2s	invalid		v0.8.2
pest	104 KiB	4s	48ms		v2.7.6
serde_json	41 KiB	3s	13ms		v1.0.113
winnow	73 KiB	2s	22ms		v0.6.0
yap	59 KiB	473ms	31ms		v0.12.0

System: Linux 5.4.0-124-generic (x86_64), rustc 1.76.0 (07dca489a 2024-02-04) w/ -j 8

Note:

• For more "Parse (release)" comparisons, see parser_benchmarks
• Parsers have not been validated and might have differing levels of quality (#5)

Running the Benchmarks

$ ./bench.py
$ ./format.py