memchunk
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.
memchunk 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.
📦 installation
pip install memchunk
looking for rust or javascript?
🚀 usage
from memchunk import Chunker
text = "Hello world. How are you? I'm fine.\nThanks for asking."
# with defaults (4KB chunks, split at \n . ?)
for chunk in Chunker(text):
print(bytes(chunk))
# with custom size
for chunk in Chunker(text, size=1024):
print(bytes(chunk))
# with custom delimiters
for chunk in Chunker(text, delimiters=".?!\n"):
print(bytes(chunk))
# with multi-byte pattern (e.g., metaspace ▁ for SentencePiece tokenizers)
for chunk in Chunker(text, pattern="▁", prefix=True):
print(bytes(chunk))
# with consecutive pattern handling (split at START of runs, not middle)
for chunk in Chunker("word next", pattern=" ", consecutive=True):
print(bytes(chunk))
# with forward fallback (search forward if no pattern in backward window)
for chunk in Chunker(text, pattern=" ", forward_fallback=True):
print(bytes(chunk))
# collect all chunks
chunks = list(Chunker(text))
chunks are returned as memoryview objects (zero-copy slices of the original text).
📝 citation
if you use memchunk in your research, please cite it as follows:
@software{memchunk2025,
author = {Minhas, Bhavnick},
title = {memchunk: The fastest text chunking library},
year = {2025},
publisher = {GitHub},
howpublished = {\url{https://github.com/chonkie-inc/memchunk}},
}
📄 license
licensed under either of Apache License, Version 2.0 or MIT license at your option.
Metadata
Release files for memchunk 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| memchunk-0.4.0.tar.gz | 34.8 kB | Without provenance | Details |
Built distributions (wheels)
Total release size: 8.3 MB
Release files / memchunk-0.4.0.tar.gz
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Release files / memchunk-0.4.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Uploaded via |
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Release files / memchunk-0.4.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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| Uploaded via |
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Release files / memchunk-0.4.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / memchunk-0.4.0-cp314-cp314-win_amd64.whl
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Release files / memchunk-0.4.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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| Size | 151.9 kB |
| Tags | CPython 3.10 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | memchunk-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 300.9 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | memchunk-0.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 290.1 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp39-cp39-win_amd64.whl
| Download URL | memchunk-0.4.0-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 153.3 kB |
| Tags | CPython 3.9 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | memchunk-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 302.5 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | memchunk-0.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 292.1 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | memchunk-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 302.3 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / memchunk-0.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | memchunk-0.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 291.9 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Security for memchunk 0.4.0
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