Pre-release

This release is a pre-release and may not be stable for production use.

Textstat-rs

Rust port of the textstat textual analysis library, with Python bindings. Drop-in replacements for 11 key metrics in US English.

99.98% exact output match, with at least 2.4x-7x speedup, with 2 most sped-up metrics at ~14x and ~79x based on benchmarking scripts included in repo, running on Wikipedia dataset as a varied, modern text corpus.

Installation

pip install textstat-rs

Pre-release versions need pip install --pre textstat-rs.

Requires Python 3.10+. Wheels are built for Linux (x86_64, x86, aarch64, armv7; glibc and musl), macOS (x86_64, arm64) and Windows (x64, arm64). They are abi3 wheels, so one wheel per platform covers every supported Python version. On other platforms pip falls back to the sdist, which needs a Rust toolchain to build.

Usage

Import name is textstat_rs; every metric takes the text as its first argument.

import textstat_rs

text = "The cat sat on the mat. It was a sunny day."

textstat_rs.flesch_reading_ease(text)   # 108.96159090909092
textstat_rs.flesch_kincaid_grade(text)  # -0.5722727272727273
textstat_rs.text_standard(text)         # '0th and 1st grade'

The exposed metrics match textstat's signatures, so an existing import can be swapped in place:

import textstat_rs as textstat

Optional arguments are the same as the Python library, other than the exceptions noted below:

textstat_rs.gunning_fog(text, syllable_threshold=3)
textstat_rs.linsear_write_formula(text, strict_lower=False, strict_upper=True)
textstat_rs.reading_time(text, ms_per_char=14.69)

The counting helpers the formulas are built on are exposed too: syllable_count, sentence_count, lexicon_count, char_count, letter_count, polysyllabcount, miniword_count and difficult_words.

Python Comparison

Functions

Exposed Metrics

Python function	Exposed?	Notes
`flesch_reading_ease`	✅
`flesch_kincaid_grade`	✅
`smog_index`	✅
`coleman_liau_index`	✅
`automated_readability_index`	✅
`dale_chall_readability_score`	✅
`linsear_write_formula`	✅	signature parity (`strict_lower`, `strict_upper`)
`gunning_fog`	✅	Rust exposes `syllable_threshold` arg, Python hardcodes it
`spache_readability`	✅	Rust missing `float_output` arg
`text_standard`	✅	Rust missing `float_output` arg, returns `String` only
`reading_time`	✅
`mcalpine_eflaw`	✅
`dale_chall_readability_score_v2`	❌
`lix`	❌
`rix`	❌
`fernandez_huerta`	❌	Spanish
`szigriszt_pazos`	❌	Spanish
`gutierrez_polini`	❌	Spanish
`crawford`	❌	Spanish
`gulpease_index`	❌	Italian
`wiener_sachtextformel`	❌	German
`osman`	❌	Arabic

Parity

Scores are compared against textstat over 1000 Wikipedia articles (up to 5000 chars each): 99.98% of 11000 comparisons match exactly, and the largest disagreement anywhere is 0.049566.

metric	avg delta	max delta
flesch_reading_ease	0.000000	0.000000
flesch_kincaid_grade	0.000000	0.000000
automated_readability_index	0.000000	0.000000
coleman_liau_index	0.000000	0.000000
dale_chall_readability_score	0.000000	0.000000
gunning_fog	0.000050	0.049566
smog_index	0.000000	0.000000
linsear_write_formula	0.000000	0.000000
mcalpine_eflaw	0.000000	0.000000
spache_readability	0.000011	0.010657
reading_time	0.000000	0.000000

Generated from 5d3aab1 on 2026-07-25, python 3.12.4 vs textstat 0.7.13, on Windows-11-10.0.26200-SP0.

Performance

One call per metric over 100 concatenated Wikipedia articles (0.46 MB), median of 5. Both libraries are warmed first, so these are steady-state numbers with lazy resource loading excluded.

metric	textstat-rs (ms)	textstat (ms)	speedup
flesch_reading_ease	39.68	145.02	3.65x
flesch_kincaid_grade	34.37	149.34	4.35x
automated_readability_index	16.99	47.21	2.78x
coleman_liau_index	14.81	60.34	4.07x
dale_chall_readability_score	29.23	180.36	6.17x
gunning_fog	28.62	192.56	6.73x
smog_index	28.09	204.73	7.29x
linsear_write_formula	0.05	3.79	79.81x
mcalpine_eflaw	18.05	43.65	2.42x
spache_readability	30.37	192.59	6.34x
reading_time	0.91	13.23	14.58x

On top of that, the first call in a fresh process pays a one-off load of the syllable and word-list resources: up to 32 ms for textstat-rs against 455 ms for textstat.

Generated from 5d3aab1 on 2026-07-25, python 3.12.4 vs textstat 0.7.13, on Windows-11-10.0.26200-SP0.

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1.0.0

Jul 25, 2026 11 files

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Jul 25, 2026 11 files

textstat-rs 1.0.0rc1

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