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Welcome to FlavorPack

Initial release Software - Development Version

FlavorPack is currently in early initial release. APIs, file formats, and commands may change without notice. Not recommended for production use. Check current version with flavor --version. Install with uv tool install flavorpack, then run make build-helpers.

FlavorPack is a cross-language packaging system that creates self-contained, portable executables using the Progressive Secure Package Format (PSPF/2025). Ship Python applications as single binaries that work without installation, dependencies, or configuration.

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  • Get Started Quickly

    Package your first application in under 5 minutes.

    Quick Start

  • Single-File Distribution

    Package applications into one executable that runs anywhere.

    Package Structure

  • Secure by Default

    Ed25519 signature verification ensures integrity.

    Security Model

  • Cross-Language

    Python orchestrator with native Go and Rust launchers.

    Architecture

What is FlavorPack?

FlavorPack transforms Python applications into self-contained executables using the Progressive Secure Package Format (PSPF/2025). Each package contains the application code, Python runtime, dependencies, and a native launcher - all in a single .psp file.

Key Features: - Single-file distribution - Cryptographic security (Ed25519 signatures) - Smart caching with validation - Cross-platform (Linux, macOS, Windows) - Zero dependencies required - Native performance (Go/Rust launchers)

Quick Example

# Package a Python application
flavor pack --manifest pyproject.toml --output myapp.psp

# Run the packaged application (no Python required)
./myapp.psp

# Verify package integrity
flavor verify myapp.psp

Part of the provide.io Ecosystem

This project is part of a larger ecosystem of tools for Python and Terraform development.

View Ecosystem Overview →

Understand how provide-foundation, pyvider, flavorpack, and other projects work together.

Use Cases

Ideal for

  • CLI Tools: Distribute command-line applications without Python installation
  • Data Science: Package ML models with their environment
  • DevOps: Deploy self-contained tools that work everywhere
  • Enterprise: Secure, signed packages with built-in verification
  • Terraform: Package custom providers as single executables

Platform Support

Community

Ready to package your Python applications? Check out our Quick Start guide or explore the architecture.