peasy-compress 0.1.1

Zero-dependency archive & compression library — ZIP, TAR, gzip, bz2, lzma using only Python stdlib.

peasy-compress

Pure Python archive and compression library with zero external dependencies. Create, extract, and inspect ZIP and TAR archives, compress and decompress data with 3 algorithms (gzip, bz2, lzma), and manage 5 archive formats (.zip, .tar, .tar.gz, .tar.bz2, .tar.xz) -- all using only the Python standard library. Every function works with bytes, Path, or string paths, operates entirely in memory with no filesystem side effects, and returns clean bytes or typed dataclasses.

Built for Peasy Compress, a free online archive and compression toolkit with interactive tools for ZIP creation, file compression, and archive inspection. The library powers 13 functions across 2 archive formats and 3 compression algorithms, providing a consistent, type-safe API for all common compression tasks.

Try the interactive tools at peasycompress.com -- ZIP Creator, TAR Creator, Gzip Compress, Archive Inspector, and more.

Table of Contents

• Install
• Quick Start
• What You Can Do
  • ZIP Archives
  • TAR Archives
  • Single-File Compression
  • Compression Algorithm Comparison
  • Archive Inspection
• Command-Line Interface
• API Reference
  • Types
  • Functions
• Learn More About Compression
• Also Available
• Peasy Developer Tools
• License

Install

# Core library (zero dependencies, Python 3.10+)
pip install peasy-compress

# With CLI support (adds typer)
pip install "peasy-compress[cli]"

Quick Start

from peasy_compress import zip_create, zip_extract, gzip_compress, gzip_decompress

# Create a ZIP archive entirely in memory -- no temp files, no disk I/O
archive = zip_create({
    "hello.txt": b"Hello, world!",
    "data.csv": b"name,value\nalpha,1\nbravo,2",
})

# Extract all files from the archive
files = zip_extract(archive)
print(files["hello.txt"])  # b'Hello, world!'

# Compress raw bytes with gzip (RFC 1952 compliant)
original = b"Repetitive data " * 1000
compressed = gzip_compress(original)
print(f"Compressed: {len(original)} -> {len(compressed)} bytes")

# Decompress back to original -- lossless round-trip guaranteed
restored = gzip_decompress(compressed)
assert restored == original

What You Can Do

ZIP Archives

ZIP is the most widely used archive format, supported natively on Windows, macOS, and Linux. It uses per-file DEFLATE compression (RFC 1951) and supports random access to individual entries without decompressing the entire archive. peasy-compress operates entirely in memory -- no temporary files, no filesystem side effects, no zipfile.ZipFile context managers to worry about.

Function	Description
zip_create()	Create a ZIP archive from a dict[str, bytes] file mapping
zip_extract()	Extract all files from a ZIP archive to dict[str, bytes]
zip_list()	Inspect archive contents and compression ratios without extracting
zip_add()	Append files to an existing ZIP archive

The ZIP format stores each file with its own compression stream, allowing tools to extract individual files without processing the entire archive. The CompressionLevel parameter ("fastest", "default", "best") maps to DEFLATE levels 1, 6, and 9 respectively:

Level	DEFLATE Level	Use Case	Speed
"fastest"	1	Quick archiving, CI artifacts, large file counts	Fastest
"default"	6	General purpose, good balance of speed and ratio	Balanced
"best"	9	Distribution packages, long-term storage	Slowest

from peasy_compress import zip_create, zip_extract, zip_list, zip_add

# Create a ZIP archive with maximum DEFLATE compression
archive = zip_create(
    {"report.txt": b"Q1 results...", "data.json": b'{"sales": 42}'},
    level="best",  # DEFLATE level 9 -- smallest output
)

# List contents without extracting -- inspect compression ratios
info = zip_list(archive)
print(f"Files: {info.file_count}, Total size: {info.total_size} bytes")
for entry in info.entries:
    ratio = entry.compressed_size / entry.size if entry.size else 0
    print(f"  {entry.name}: {entry.size}B -> {entry.compressed_size}B ({ratio:.0%})")

# Add more files to an existing archive without re-creating it
updated = zip_add(archive, {"readme.md": b"# Project Notes"})
print(f"Updated archive has {zip_list(updated).file_count} files")

# Extract from a file path -- accepts bytes, Path, or str
files = zip_extract("/path/to/archive.zip")

Learn more: ZIP Archive Tool · What is DEFLATE Compression? · ZIP vs TAR Comparison

TAR Archives

TAR (Tape Archive) bundles multiple files into a single sequential stream, optionally compressed with gzip, bz2, or xz. Unlike ZIP, TAR separates the archiving step from compression -- the entire archive is compressed as one unit, which typically yields better compression ratios for collections of similar files. TAR is the standard archive format on Unix/Linux systems and is the backbone of software distribution (source tarballs), container images (Docker layers), and system backups.

The compression parameter controls the outer compression layer:

Compression	Extension	Algorithm	Typical Ratio	Speed	Standard
"" (none)	.tar	None	1:1 (no compression)	Instant	POSIX.1-1988
"gz"	.tar.gz	DEFLATE (RFC 1952)	3:1 -- 5:1	Fast	RFC 1952
"bz2"	.tar.bz2	Burrows-Wheeler	4:1 -- 7:1	Moderate	bzip2 spec
"xz"	.tar.xz	LZMA2	5:1 -- 10:1	Slowest	XZ Utils / LZMA SDK

from peasy_compress import tar_create, tar_extract, tar_list

# Create a gzip-compressed tar archive -- standard .tar.gz format
archive = tar_create(
    {"src/main.py": b"print('hello')", "src/utils.py": b"# utils"},
    compression="gz",  # Options: "", "gz", "bz2", "xz"
)

# Extract all files -- preserves directory structure in keys
files = tar_extract(archive, compression="gz")
print(files["src/main.py"])  # b"print('hello')"

# List contents without extracting -- inspect format and file count
info = tar_list(archive, compression="gz")
print(f"Format: {info.format}")   # "tar.gz"
print(f"Files: {info.file_count}")  # 2

# Create an uncompressed tar for piping to external compressors
raw_tar = tar_create({"data.bin": b"\x00" * 10000})

# Create a tar.xz archive -- maximum compression for distribution
dist = tar_create(
    {"package/setup.py": b"...", "package/README.md": b"..."},
    compression="xz",  # LZMA2 compression -- best ratio
)

Learn more: TAR Archive Tool · Gzip vs Bz2 vs LZMA · TAR Format Guide

Single-File Compression

Compress or decompress individual byte sequences without creating an archive. All three algorithms are included in the Python standard library, and peasy-compress provides a consistent, symmetrical API across them -- every *_compress() function returns bytes and every *_decompress() function restores the original data losslessly.

Algorithm	Module	RFC/Standard	Typical Ratio	Best For
gzip	gzip	RFC 1952	3:1 -- 5:1	HTTP Content-Encoding, general purpose, web assets
bz2	bz2	bzip2 1.0.6	4:1 -- 7:1	Text-heavy data, source code, log files
lzma	lzma	LZMA SDK / XZ	5:1 -- 10:1	Maximum compression, software distribution, .xz files

Gzip (GNU zip) is the most widely deployed compression algorithm on the internet. Every web server and browser supports Content-Encoding: gzip, and it is the default compression for HTTP/1.1 transfer encoding. Gzip uses DEFLATE internally (LZ77 + Huffman coding) with a 32KB sliding window.

Bz2 (bzip2) uses the Burrows-Wheeler Transform followed by Move-to-Front and Huffman coding. It achieves 10-15% better compression than gzip on text-heavy data, at the cost of 2-4x slower compression speed. Bz2 uses a block size of 100-900KB (controlled by the level parameter).

LZMA (Lempel-Ziv-Markov chain Algorithm) provides the best compression ratio of the three. It uses a dictionary size of up to 4GB and sophisticated range coding. LZMA is the algorithm behind .xz files and 7z archives. The lzma module does not expose a compression level parameter -- it uses optimal settings by default.

from peasy_compress import (
    gzip_compress, gzip_decompress,
    bz2_compress, bz2_decompress,
    lzma_compress, lzma_decompress,
)

data = b"Hello, compression!" * 500

# gzip -- fast, universally compatible (HTTP Content-Encoding)
gz = gzip_compress(data, level=9)  # Level 1-9, default 9
assert gzip_decompress(gz) == data

# bz2 -- Burrows-Wheeler transform, better ratio for text
bz = bz2_compress(data, level=9)  # Level 1-9, default 9
assert bz2_decompress(bz) == data

# lzma -- maximum compression, LZMA2 algorithm
xz = lzma_compress(data)  # No level parameter -- optimal by default
assert lzma_decompress(xz) == data

# Compare compression ratios across all three algorithms
print(f"Original: {len(data):>6} bytes")
print(f"gzip:     {len(gz):>6} bytes ({len(gz)/len(data):.1%})")
print(f"bz2:      {len(bz):>6} bytes ({len(bz)/len(data):.1%})")
print(f"lzma:     {len(xz):>6} bytes ({len(xz)/len(data):.1%})")

Learn more: Gzip Compression Tool · Bz2 Compression Tool · LZMA Compression Tool

Compression Algorithm Comparison

Choosing the right compression algorithm depends on your use case. Here is a practical guide based on real-world trade-offs between compression ratio, speed, and compatibility:

Scenario	Recommended	Why
Web server assets (CSS, JS, HTML)	gzip	Universal browser support via Content-Encoding: gzip
CI/CD build artifacts	gzip (level=1)	Speed matters more than ratio for ephemeral files
Log file archival	bz2	Logs are text-heavy; bz2 excels at repetitive text
Source code distribution	xz (LZMA)	Best ratio for .tar.xz tarballs, standard on Linux
Cross-platform sharing	ZIP	Built-in OS support on Windows, macOS, Linux
Container image layers	gzip	Docker/OCI spec requires gzip-compressed tar layers
Database backups	lzma	Maximum compression for large SQL dumps
Streaming/piping	gzip	Supports streaming compression; bz2/lzma are block-based

Compression level trade-offs: Gzip and bz2 accept levels 1-9. Level 1 is fastest with the lowest ratio, level 9 is slowest with the best ratio. In practice, levels 6-9 produce similar ratios -- the speed difference is more significant than the size difference. For most use cases, the default level 9 in peasy-compress is the right choice.

from peasy_compress import gzip_compress, bz2_compress, lzma_compress

# Benchmark compression ratios on realistic data
log_data = b"2026-01-15 INFO Request processed in 42ms\n" * 10000
json_data = b'{"id": 1, "name": "example", "active": true}\n' * 5000
binary_data = bytes(range(256)) * 1000

for label, data in [("Log file", log_data), ("JSON", json_data), ("Binary", binary_data)]:
    gz = gzip_compress(data)
    bz = bz2_compress(data)
    xz = lzma_compress(data)
    print(f"{label} ({len(data):,} bytes):")
    print(f"  gzip: {len(gz):>7,} ({len(gz)/len(data):5.1%})")
    print(f"  bz2:  {len(bz):>7,} ({len(bz)/len(data):5.1%})")
    print(f"  lzma: {len(xz):>7,} ({len(xz)/len(data):5.1%})")

Learn more: Compression Algorithm Guide · Compression Ratio Calculator

Archive Inspection

The zip_list() and tar_list() functions return an ArchiveInfo dataclass with detailed metadata about every entry in the archive -- sizes, compression ratios, file/directory counts -- without extracting any content. This is useful for validation, auditing, and building archive browsers.

from peasy_compress import zip_create, zip_list, tar_create, tar_list

# Create a ZIP archive and inspect its contents
archive = zip_create({
    "docs/guide.md": b"# User Guide\n" * 100,
    "src/app.py": b"import os\n" * 50,
    "README.md": b"# Project\n",
})

# ArchiveInfo gives you a complete summary without extracting
info = zip_list(archive)
print(f"Format: {info.format}")                  # "zip"
print(f"Files: {info.file_count}")               # 3
print(f"Directories: {info.dir_count}")          # 0
print(f"Total size: {info.total_size} bytes")    # uncompressed total
print(f"Compressed: {info.total_compressed} bytes")

# Each ArchiveEntry has name, size, compressed_size, and is_dir
for entry in info.entries:
    if not entry.is_dir:
        ratio = (1 - entry.compressed_size / entry.size) * 100 if entry.size else 0
        print(f"  {entry.name}: {entry.size}B -> {entry.compressed_size}B ({ratio:.0f}% saved)")

# TAR inspection works the same way
tar_data = tar_create({"config.yaml": b"key: value\n"}, compression="gz")
tar_info = tar_list(tar_data, compression="gz")
print(f"\nTAR format: {tar_info.format}")  # "tar.gz"

Learn more: Archive Inspector Tool · Understanding Archive Formats

Command-Line Interface

Install with CLI support: pip install "peasy-compress[cli]"

# ZIP operations -- create, extract, and inspect ZIP archives
peasy-compress zip-create file1.txt file2.txt -o archive.zip
peasy-compress zip-extract archive.zip -o ./output/
peasy-compress zip-list archive.zip

# TAR operations -- with optional gzip/bz2/xz compression
peasy-compress tar-create src/ docs/ -o backup.tar.gz -c gz
peasy-compress tar-extract backup.tar.gz -o ./restored/ -c gz
peasy-compress tar-list backup.tar.gz -c gz

# Single-file compression and decompression
peasy-compress gzip largefile.txt              # -> largefile.txt.gz
peasy-compress gunzip largefile.txt.gz         # -> largefile.txt
peasy-compress bz2 data.csv                    # -> data.csv.bz2
peasy-compress bunzip2 data.csv.bz2            # -> data.csv
peasy-compress xz database.sql                 # -> database.sql.xz
peasy-compress unxz database.sql.xz            # -> database.sql

# Control compression level (1-9) for gzip and bz2
peasy-compress gzip largefile.txt -l 1         # fastest compression
peasy-compress bz2 data.csv -l 9               # best compression

# Specify custom output path
peasy-compress gzip input.txt -o /tmp/compressed.gz

CLI Commands

Command	Description
zip-create	Create a ZIP archive from one or more files
zip-extract	Extract all files from a ZIP archive
zip-list	List contents with sizes and compression info
tar-create	Create a TAR archive with optional compression
tar-extract	Extract a TAR archive
tar-list	List TAR archive contents
gzip / gunzip	Compress / decompress with gzip
bz2 / bunzip2	Compress / decompress with bz2
xz / unxz	Compress / decompress with lzma/xz

API Reference

Types

Type	Description
ArchiveInput	bytes | Path | str -- flexible input accepted by all archive functions
CompressionLevel	Literal["fastest", "default", "best"] -- maps to DEFLATE levels 1, 6, 9
ArchiveEntry	Frozen dataclass: name: str, size: int, compressed_size: int, is_dir: bool
ArchiveInfo	Frozen dataclass: format: str, entries: list[ArchiveEntry], total_size: int, total_compressed: int, file_count: int, dir_count: int

Functions

Function	Signature	Returns	Description
zip_create	(files: dict[str, bytes], *, level: CompressionLevel = "default")	bytes	Create a ZIP archive in memory
zip_extract	(source: ArchiveInput)	dict[str, bytes]	Extract all files from a ZIP archive
zip_list	(source: ArchiveInput)	ArchiveInfo	List ZIP contents with compression ratios
zip_add	(source: ArchiveInput, files: dict[str, bytes])	bytes	Append files to an existing ZIP archive
tar_create	(files: dict[str, bytes], *, compression: str = "")	bytes	Create a TAR archive (plain, gz, bz2, xz)
tar_extract	(source: ArchiveInput, *, compression: str = "")	dict[str, bytes]	Extract all files from a TAR archive
tar_list	(source: ArchiveInput, *, compression: str = "")	ArchiveInfo	List TAR contents and format
gzip_compress	(data: bytes, *, level: int = 9)	bytes	Compress bytes with gzip (RFC 1952)
gzip_decompress	(data: bytes)	bytes	Decompress gzip data
bz2_compress	(data: bytes, *, level: int = 9)	bytes	Compress bytes with bz2 (Burrows-Wheeler)
bz2_decompress	(data: bytes)	bytes	Decompress bz2 data
lzma_compress	(data: bytes)	bytes	Compress bytes with LZMA/XZ
lzma_decompress	(data: bytes)	bytes	Decompress LZMA/XZ data

Learn More About Compression

• Tools: ZIP Creator · TAR Creator · Gzip Compress · Archive Inspector · Compression Ratio Calculator
• Formats: ZIP Format · TAR Format · Gzip Format
• Algorithms: DEFLATE · Burrows-Wheeler Transform · LZMA
• Guides: Gzip vs Bz2 vs LZMA · ZIP vs TAR · Compression Best Practices
• API: REST API Docs · OpenAPI Spec

Also Available

Platform	Install	Link
npm	npm install peasy-compress	npm

Peasy Developer Tools

Part of the Peasy Tools open-source developer utilities ecosystem.

Package	PyPI	npm	Description
peasy-pdf	PyPI	npm	PDF merge, split, compress, encrypt -- peasypdf.com
peasy-image	PyPI	npm	Image resize, crop, convert, watermark -- peasyimage.com
peasytext	PyPI	npm	Text case, slug, encode, diff -- peasytext.com
peasy-css	PyPI	npm	CSS gradient, shadow, flexbox, grid -- peasycss.com
peasy-compress	PyPI	npm	Archive & compression -- gzip, zip, tar -- peasycompress.com
peasy-document	PyPI	npm	Document conversion -- Markdown, CSV, HTML -- peasydocument.com
peasy-audio	PyPI	--	Audio trim, merge, convert, normalize -- peasyaudio.com
peasy-video	PyPI	--	Video trim, resize, GIF, thumbnails -- peasyvideo.com
peasy-convert	PyPI	--	Unified CLI: peasy pdf merge a.pdf b.pdf -- peasytools.com
peasy-mcp	PyPI	--	Unified MCP hub for AI assistants -- peasytools.com

License

MIT