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Installation

Choose the installation method that works best for you.

Run directly without installing (requires uv):

uvx pysentry-rs /path/to/project

This method:

  • Runs the latest version without installation
  • Automatically manages Python environment
  • Perfect for CI/CD or occasional security audits
  • No need to manage package versions or updates

From PyPI (Python Package)

For Python 3.9-3.14 on Linux, macOS, and Windows:

pip install pysentry-rs

Then use it with Python:

python -m pysentry /path/to/project
# or directly if scripts are in PATH
pysentry-rs /path/to/project

From Crates.io (Rust Package)

If you have Rust installed:

cargo install pysentry

From GitHub Releases (Pre-built Binaries)

Download the latest release for your platform:

  • Linux x64: pysentry-linux-x64.tar.gz
  • Linux x64 (musl): pysentry-linux-x64-musl.tar.gz
  • Linux ARM64: pysentry-linux-arm64.tar.gz
  • macOS x64: pysentry-macos-x64.tar.gz
  • macOS ARM64: pysentry-macos-arm64.tar.gz
  • Windows x64: pysentry-windows-x64.zip
# Example for Linux x64
curl -L https://github.com/nyudenkov/pysentry/releases/latest/download/pysentry-linux-x64.tar.gz | tar -xz
./pysentry-linux-x64/pysentry --help

From Source

git clone https://github.com/nyudenkov/pysentry
cd pysentry
cargo build --release

The binary will be available at target/release/pysentry.

Requirements

MethodRequirements
uvxPython 3.9-3.14 and uv
BinariesNo additional dependencies
Python packagePython 3.9-3.14
Rust package / SourceRust 1.79+

Platform Support

Installation MethodLinux (x64)Linux (ARM64)macOS (x64)macOS (ARM64)Windows (x64)
uvx
PyPI (pip)
Crates.io (cargo)
GitHub Releases
From Source

Supported Python Versions: 3.9, 3.10, 3.11, 3.12, 3.13, 3.14

Supported Architectures: x86_64 (x64), ARM64 (aarch64)

CLI Command Names

  • Rust binary: pysentry (when installed via cargo or binary releases)
  • Python package: pysentry-rs (when installed via pip or uvx)

Both variants support identical functionality. The resolver tools (uv, pip-tools) must be available in your current environment regardless of which PySentry variant you use.