chunk

Library Listed

The fastest semantic text chunking library — up to 1TB/s chunking throughput

Checked · Sources

Downloads
5,407
Dependents
8
Stars
361
Forks
24
Contributors
2
Commits
71
Latest release
0.10.2 ·

About

From the project README ·

chunk

the fastest text chunking library — up to 1 TB/s throughput


you know how every chunking library claims to be fast? yeah, we actually meant it.

chunk splits text at semantic boundaries (periods, newlines, the usual suspects) and does it stupid fast. we're talking "chunk the entire english wikipedia in 120ms" fast.

want to know how? read the blog post where we nerd out about SIMD instructions and lookup tables.

[!NOTE] chunk was previously known as memchunk. It still contains the chunk method but now also includes other basic operations that power chonkie core.

Benchmark comparison

See benches/ for detailed benchmarks.

📦 Installation

cargo add chunk

looking for python or javascript?

Read the full README

🚀 Usage

use chunk::chunk;

let text = b"Hello world. How are you? I'm fine.\nThanks for asking.";

// With defaults (4KB chunks, split at \n . ?)
let chunks: Vec<&[u8]> = chunk(text).collect();

// With custom size
let chunks: Vec<&[u8]> = chunk(text).size(1024).collect();

// With custom delimiters
let chunks: Vec<&[u8]> = chunk(text).delimiters(b"\n.?!").collect();

// With multi-byte pattern (e.g., metaspace ▁ for SentencePiece tokenizers)
let metaspace = "▁".as_bytes();
let chunks: Vec<&[u8]> = chunk(text).pattern(metaspace).prefix().collect();

// With consecutive pattern handling (split at START of runs, not middle)
let chunks: Vec<&[u8]> = chunk(b"word   next")
    .pattern(b" ")
    .consecutive()
    .collect();

// With forward fallback (search forward if no pattern in backward window)
let chunks: Vec<&[u8]> = chunk(text)
    .pattern(b" ")
    .forward_fallback()
    .collect();

📝 Citation

If you use chunk in your research, please cite it as follows:

@software{chunk2025,
  author = {Minhas, Bhavnick},
  title = {chunk: The fastest text chunking library},
  year = {2025},
  publisher = {GitHub},
  howpublished = {\url{https://github.com/chonkie-inc/chunk}},
}

📄 License

Licensed under either of Apache License, Version 2.0 or MIT license at your option.

Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
None found
  • No native code found
Python bindings
No Python binding crate found
License
Apache-2.0 OR MIT

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

chunk beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
chunk This page Listed

The fastest semantic text chunking library — up to 1TB/s chunking throughput

5,407 downloads over 30 days 8 361 0.10.2 GPU support unknown No native code found Apache-2.0 OR MIT
tokenizers Featured

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7,490,451 downloads over 30 days 1,021 11,230 0.23.2 GPU support unknown Binds native code: tikv-jemalloc-sys, onig_sys (feature default) Apache-2.0
tiktoken-rs Featured

Library for encoding and decoding with the tiktoken library in Rust

3,939,182 downloads over 30 days 449 410 0.12.1 GPU support unknown No native code found MIT
lingua-rs Featured

An accurate natural language detection library, suitable for short text and mixed-language text

Python bindings

286,625 downloads over 30 days 22 1,152 1.8.0 GPU support unknown Binds native code: cld2-sys (feature accuracy-reports) Apache-2.0
text-splitter Featured

Split text into semantic chunks, up to a desired chunk size. Supports calculating length by characters and tokens, and is callable from Rust and Python.

271,174 downloads over 30 days 56 645 0.33.1 GPU support unknown Binds native code: tree-sitter (feature code), tree-sitter-language (feature code) MIT
splintr Listed

Tokenizer for Rust and Python: pure Rust by default, with 18 bundled vocabularies and four backends covering BPE, SentencePiece and WordPiece. Its output matches Hugging Face tokenizers id for id on 14 model families, including GPT-2, Qwen, Whisper, T5 and BERT.

Python bindings

8,204 downloads over 30 days 7 63 0.22.2 GPU support unknown Binds native code: pcre2-sys (feature pcre2) MIT

Wrapper for the BlingFire tokenization library

1,162 downloads over 30 days 0 15 1.0.0 GPU support unknown Binds native code: blingfire-sys, blingfiretokdll. Build uses a native toolchain: cmake MIT
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

  • It has 5 active dependents and 5 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days. The repository route reads 361 stars, 24 forks and 2 contributors. It needs 4,539 stars, 434 forks and 79 contributors together.

What else the check found

  • The last activity is on 28 May 2026, 165 days ago. The rules expect an update within 365 days. Dormancy rule

Exact rules: Listed, Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 0.10.2 base 300, raised to the 365-day floor: E = 365 days
  • dormancy: last activity 2026-05-28, 165 days ago, E = 365: active
  • featured: not featured: active_users 5 < 11 and new_adopters 5 < 9 and repository route stars 361 (needs 4539), forks 24 (needs 434), contributors 2 (needs 79)
  • listed: listed: no archive, new or featured rule applies

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption5 active dependents, 5 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents5crates.io database dumpYes
New dependents (365 days)5crates.io database dumpYes
Peak active dependents5crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 5 months ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2026-05-28GitHub repositoryYes
Latest release2026-05-28crates.io database dumpYes
First release2026-01-19crates.io database dumpYes
Latest version0.10.2crates.io database dumpYes
Days the oldest outside issue waits for a reply0GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementnonecrates.io database dumpYes
Distribution10 releases, 5,407 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases10crates.io database dumpYes
Downloads over 30 days5407crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository361 stars, 24 forks, 2 contributors, 71 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars361GitHub repositoryYes — one part of the repository route
GitHub forks24GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account2GitHub contributorsYes — one part of the repository route
Commits on the default branch71GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseApache-2.0 OR MITcrates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesNo native code foundcrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly8crates.io database dumpNo

Corrections and review history

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Judgments

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