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.

Project links

Data verified by PyPI on Jul 25, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

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GitHub Statistics

Data verified by PyPI on Jul 25, 2026
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License expression

MIT
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Requires

Python >=3.10

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