zlib-rs 0.1.2

High-performance, memory-safe Python bindings for zlib-rs (Rust). Up to 22x faster than CPython zlib.

Notice: This project was built entirely with AI assistance and is an experimental proof of concept. It is not intended for production use. Use at your own risk.

zlib-rs-python

A high-performance, memory-safe Python binding for the zlib-rs Rust crate. Up to 22x faster than CPython's built-in zlib module.

Features

• High Performance -- Up to 22x faster compression and 17x faster checksums compared to CPython's built-in zlib (see benchmarks).
• Memory Safe -- Built on top of zlib-rs, a memory-safe, pure-Rust implementation of the zlib compression algorithm.
• Drop-in Compatible -- Follows the standard Python zlib API. Swap imports and go.
• Cross-Platform -- Builds and runs on Linux, macOS, and Windows with no C dependencies.
• Zero C Dependencies -- No system zlib headers or C compiler required. Everything is compiled from Rust source.

Installation

From PyPI

pip install zlib-rs

From Source

pip install maturin
git clone https://github.com/farhaanaliii/zlib-rs-python.git
cd zlib-rs-python
maturin develop --release

Quick Start

import zlib_rs as zlib

# One-shot compression
data = b"Hello, zlib-rs!" * 1000
compressed = zlib.compress(data)
original = zlib.decompress(compressed)
assert data == original

# Streaming compression
compressor = zlib.compressobj(level=6)
compressed = compressor.compress(data)
compressed += compressor.flush()

decompressor = zlib.decompressobj()
result = decompressor.decompress(compressed)
assert data == result

# Checksums
checksum_adler = zlib.adler32(data)
checksum_crc = zlib.crc32(data)

Drop-in Replacement

To use zlib-rs globally in an existing project without changing every import:

import sys
import zlib_rs

sys.modules["zlib"] = zlib_rs

# Now any library importing 'zlib' will use 'zlib-rs' instead
import zlib
compressed = zlib.compress(b"transparent replacement")

API Reference

Function / Class	Description
compress(data, level=-1)	One-shot compression. Returns compressed bytes.
decompress(data, wbits=15, bufsize=16384)	One-shot decompression. Returns original bytes.
compressobj(level, method, wbits, ...)	Create a streaming compression object.
decompressobj(wbits, zdict)	Create a streaming decompression object.
adler32(data, value=1)	Compute Adler-32 checksum.
crc32(data, value=0)	Compute CRC-32 checksum.

All standard zlib constants are available: Z_BEST_COMPRESSION, Z_BEST_SPEED, Z_DEFAULT_COMPRESSION, Z_DEFAULT_STRATEGY, Z_DEFLATED, Z_FINISH, Z_NO_FLUSH, Z_SYNC_FLUSH, MAX_WBITS, DEF_MEM_LEVEL, etc.

Benchmarks

All benchmarks measured on Windows, Python 3.12, with release optimizations (lto = "fat", codegen-units = 1, target-cpu=native).

One-Shot Compression

Data Size	Level	CPython zlib	zlib-rs	Speedup
1 KB	1	57.2 us	46.3 us	1.2x faster
1 KB	6	62.6 us	20.0 us	3.1x faster
64 KB	1	155.6 us	63.2 us	2.5x faster
64 KB	6	398.1 us	86.3 us	4.6x faster
1 MB	6	6.45 ms	401.4 us	16.1x faster
10 MB	6	94.60 ms	4.22 ms	22.4x faster

One-Shot Decompression

Data Size	Level	CPython zlib	zlib-rs	Speedup
1 KB	1	4.4 us	2.3 us	1.9x faster
64 KB	9	50.5 us	15.0 us	3.4x faster
1 MB	6	1.18 ms	664.0 us	1.8x faster
10 MB	1	11.99 ms	5.86 ms	2.0x faster

Checksums

Operation	Data Size	CPython zlib	zlib-rs	Speedup
adler32	64 KB	21.0 us	2.0 us	10.5x faster
crc32	64 KB	41.9 us	3.2 us	13.1x faster
adler32	1 MB	364.6 us	33.1 us	11.0x faster
crc32	1 MB	814.8 us	48.3 us	16.9x faster

Running Benchmarks

maturin develop --release
python benchmarks/bench_zlib.py

Development

Prerequisites

• Rust 1.75 or later
• Python 3.8 or later
• maturin

Setup

git clone https://github.com/farhaanaliii/zlib-rs-python.git
cd zlib-rs-python
python -m venv .venv

# Linux / macOS
source .venv/bin/activate

# Windows (PowerShell)
.\.venv\Scripts\Activate.ps1

pip install maturin pytest

Build

Debug build (fast compile, slow runtime):

maturin develop

Release build (slow compile, fast runtime -- recommended for benchmarks):

maturin develop --release

Test

pytest tests/ -v

Dev Scripts

Platform-specific dev scripts are provided in the scripts/ directory:

Script	Description
scripts/dev.ps1	Windows: build, test, and benchmark
scripts/dev.sh	Linux/macOS: build, test, and benchmark
scripts/release.ps1	Windows: bump version, tag, and push release
scripts/release.sh	Linux/macOS: bump version, tag, and push release

Usage:

# Windows (PowerShell)
.\scripts\dev.ps1 build     # Build release
.\scripts\dev.ps1 test      # Run tests
.\scripts\dev.ps1 bench     # Run benchmarks
.\scripts\dev.ps1 all       # Build + test + bench

# Linux / macOS
./scripts/dev.sh build
./scripts/dev.sh test
./scripts/dev.sh bench
./scripts/dev.sh all

Project Structure

zlib-rs-python/
  src/
    lib.rs             # Rust source -- PyO3 bindings to zlib-rs
  python/
    zlib_rs/
      __init__.py      # Python package entry point
  tests/
    test_compatibility.py  # Basic cross-compat tests
    test_compress.py       # One-shot compress/decompress
    test_streaming.py      # Streaming operations
    test_checksums.py      # adler32/crc32
    test_edge_cases.py     # Edge cases, constants, errors
  benchmarks/
    bench_zlib.py      # Performance comparison vs CPython zlib
  scripts/
    dev.ps1            # Windows dev script
    dev.sh             # Linux/macOS dev script
    release.ps1        # Windows release script
    release.sh         # Linux/macOS release script
  .github/
    workflows/
      CI.yml           # Test + lint on push/PR
      release.yml      # Cross-platform build + PyPI publish on tag
  Cargo.toml           # Rust dependencies and release profile
  pyproject.toml       # Python package metadata (PyPI)
  LICENSE
  README.md

Releasing

Releases are automated via GitHub Actions. To create a new release:

# Windows
.\scripts\release.ps1 0.2.0

# Linux / macOS
./scripts/release.sh 0.2.0

This will:

1. Update version in Cargo.toml and __init__.py
2. Build and test locally
3. Commit, create a v0.2.0 tag, and push to GitHub
4. GitHub Actions then builds cross-platform wheels (Linux x86_64/aarch64, Windows x86_64, macOS x86_64/arm64)
5. Tests wheels on all platforms
6. Publishes to PyPI
7. Creates a GitHub Release with all wheel assets

Contributing

Contributions are welcome. Please see CONTRIBUTING.md for guidelines.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

• zlib-rs -- The underlying Rust zlib implementation by the Trifecta Tech Foundation.
• PyO3 -- Rust bindings for Python.
• maturin -- Build system for Rust-based Python packages.