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tzst Documentation
Welcome to tzst, the next-generation Python library engineered for modern archive management, leveraging cutting-edge Zstandard compression to deliver superior performance, security, and reliability.
:maxdepth: 2
:caption: Contents:
quickstart
performance
examples
api/index
development
genindex
:hidden:
404
README
What is tzst?
tzst is a modern Python library built exclusively for Python 3.12+ that provides comprehensive support for creating, extracting, and managing .tzst and .tar.zst archives. It combines the proven reliability of the tar format with the superior compression efficiency of Zstandard (zstd) to deliver:
- Superior Performance: Fast compression and decompression with excellent compression ratios
- Enterprise-Grade Security: Safe extraction with built-in protections against path traversal attacks
- Memory Efficiency: Streaming mode for handling large archives with minimal memory usage
- Cross-Platform Compatibility: Works seamlessly on Windows, macOS, and Linux
- Developer-Friendly: Clean, Pythonic API with comprehensive error handling
Key Features
Advanced Compression
- Zstandard Compression: Best-in-class compression algorithm with configurable levels (1-22)
- Multiple Extensions: Support for both
.tzstand.tar.zstfile extensions - Streaming Support: Memory-efficient processing for large archives
Security First
- Safe by Default: Uses 'data' filter for secure extraction without dangerous path traversal
- Multiple Filter Options: Choose from 'data', 'tar', or 'fully_trusted' filters based on your security needs
- Atomic Operations: All file operations use temporary files with atomic moves to prevent corruption
Dual Interfaces
- Command Line: Intuitive CLI with comprehensive options for batch operations
- Python API: Clean, object-oriented interface for programmatic use
- Convenience Functions: High-level functions for common operations
High Performance
- Optimized I/O: Efficient buffering and streaming for large files
- Conflict Resolution: Intelligent handling of file conflicts during extraction
- Cross-Platform: Native performance on all major operating systems
Quick Example
from tzst import TzstArchive, create_archive, extract_archive
# Create an archive
create_archive("backup.tzst", ["documents/", "photos/"], compression_level=5)
# Extract an archive
extract_archive("backup.tzst", "restore/")
# Work with archives programmatically
with TzstArchive("data.tzst", "r") as archive:
contents = archive.list(verbose=True)
archive.extract("important.txt", "output/")
is_valid = archive.test()
Installation
From PyPI
pip install tzst
From GitHub Releases
Download platform-specific standalone executables from GitHub Releases - no Python installation required!
Supported Platforms
| Platform | Architecture | File |
|---|---|---|
| Linux | x86_64 | tzst-v{version}-linux-x86_64.zip |
| Linux | ARM64 | tzst-v{version}-linux-aarch64.zip |
| Windows | x64 | tzst-v{version}-windows-amd64.zip |
| Windows | ARM64 | tzst-v{version}-windows-arm64.zip |
| macOS | Intel | tzst-v{version}-macos-x86_64.zip |
| macOS | Apple Silicon | tzst-v{version}-macos-arm64.zip |
Installation Steps
- Download the appropriate archive for your platform from the latest releases page
- Extract the archive to get the
tzstexecutable (ortzst.exeon Windows) - Move the executable to a directory in your PATH:
- Linux/macOS:
sudo mv tzst /usr/local/bin/ - Windows: Add the directory containing
tzst.exeto your PATH environment variable
- Linux/macOS:
- Verify installation:
tzst --help
Benefits of Binary Installation
- No Python required - Standalone executable
- Faster startup - No Python interpreter overhead
- Easy deployment - Single file distribution
- Consistent behavior - Bundled dependencies
Using uvx (No Installation)
Run tzst directly without installation using uvx:
uvx tzst --help
uvx tzst a archive.tzst file1.txt file2.txt directory/
uvx tzst x archive.tzst
Perfect for one-time usage, testing, CI/CD pipelines, and isolated environments.
From Source
git clone https://github.com/xixu-me/tzst.git
cd tzst
pip install .
Getting Started
For a quick introduction, see the {doc}quickstart guide. For comprehensive usage examples, explore the {doc}examples section.
Installation Options
- PyPI Installation:
pip install tzst - Standalone Binaries: Download from GitHub Releases
- uvx (No Installation): Run directly with
uvx tzst - From Source: Clone and install from repository
API Documentation
Complete API documentation is available in the {doc}api/index section, covering:
- {doc}
api/core: Main classes and functions - {doc}
api/cli: Command-line interface - {doc}
api/exceptions: Error handling
Development
For comprehensive development information, see the {doc}development guide, which covers:
- Setting up development environment
- Running tests and code quality checks
- Documentation building
- Contributing workflow and guidelines
- Project structure and best practices
Quick Start
git clone https://github.com/xixu-me/tzst.git
cd tzst
pip install -e .[dev]
pytest
Contributing
We welcome contributions! Please read our Contributing Guide for:
- Development setup and project structure
- Code style guidelines and best practices
- Testing requirements and writing tests
- Pull request process and review workflow
Types of Contributions Welcome
- Bug fixes - Fix issues in existing functionality
- Features - Add new capabilities to the library
- Documentation - Improve or add documentation
- Tests - Add or improve test coverage
- Performance - Optimize existing code
- Security - Address security vulnerabilities
Acknowledgments
- Meta Zstandard for the excellent compression algorithm
- python-zstandard for Python bindings
- The Python community for inspiration and feedback
License
Copyright © 2025 Xi Xu. All rights reserved.
Licensed under the BSD 3-Clause license.
Documentation Guide
- {doc}
quickstart- Get up and running quickly with basic examples - {doc}
performance- Performance optimization guide and comparisons - {doc}
examples- Comprehensive usage examples and patterns - {doc}
api/index- Complete API reference documentation - {doc}
development- Development and contribution guidelines - {ref}
genindex- Index of all documented items
Requirements
- Python 3.12 or higher
- zstandard >= 0.19.0