pget

Pure Python package manager for the Pynosaur ecosystem

Overview

pget (Python Gets) is a minimalist package manager designed specifically for standalone Python CLI applications in the Pynosaur ecosystem. Unlike pip which manages libraries and dependencies, pget focuses on distributing self-contained executable tools.

Full Name: Python Gets
Version: 0.1.4
Equivalent: apt / brew
Repository: github.com/pynosaur/pget

Why pget?

• No dependency conflicts - each app is a standalone binary
• Works without pip, virtualenv, or conda
• Perfect for simple CLI utilities that do one thing well
• Automatically downloads pre-built binaries for your platform
• Falls back to building from source when needed
• Everything lives in ~/.pget/bin - clean and isolated

Installation

Quick Start (No Build Required)

git clone https://github.com/pynosaur/pget.git
cd pget
python app/main.py --help

Build Standalone Binary (Recommended)

git clone https://github.com/pynosaur/pget.git
cd pget
bazel build //:pget_bin
mkdir -p ~/.pget/bin
cp bazel-bin/pget ~/.pget/bin/
export PATH="$HOME/.pget/bin:$PATH"

Commands

install

Install a package from the Pynosaur ecosystem:

pget install <app_name>

Example:

pget install yday
pget install see

remove

Uninstall a package:

pget remove <app_name>

list

Show all installed packages:

pget list

update

Update a package to the latest version:

pget update <app_name>

search

Search for available packages:

pget search
pget search date

Features

• Pure Python - Standard library only
• Cross-platform - macOS, Linux, Windows
• Smart installation - Downloads binaries or builds from source
• Simple CLI - Familiar package manager commands
• Self-contained - Everything in ~/.pget/bin
• Standalone binaries - Fast startup, no runtime dependencies

Platform Support

• macOS (ARM64 and x86_64)
• Linux (x86_64 and ARM64)
• Windows (x86_64)

Requirements

• Python 3.6 or higher
• Internet connection
• Bazel or Bazelisk (optional, for source builds)

Use Cases

• System utilities and CLI tools
• Developer productivity tools
• Simple data processing scripts
• Cross-platform command-line applications

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