Python package manager with centralized storage and zero duplication - works like venv + pip
Project description
PyPM - Python Package Manager
Zero-duplication package management for Python - Works like venv + pip but stores packages centrally!
🚀 Quick Start
# Install PyPM
pip install pypm-manager
# Create environment
pypm create myproject
# Activate it (opens new shell)
pypm activate myproject
# Use pip normally - packages stored centrally!
pip install pandas numpy scikit-learn
# Deactivate when done
deactivate
✨ The Problem PyPM Solves
Before PyPM:
project1/venv/ → pandas 1.5.0 (100 MB)
project2/venv/ → pandas 1.5.0 (100 MB) [DUPLICATE!]
project3/venv/ → pandas 1.5.0 (100 MB) [DUPLICATE!]
Total: 300 MB wasted
With PyPM:
~/.pypm_central/ → pandas 1.5.0 (100 MB) [STORED ONCE!]
All projects reference the same files
Total: 100 MB (66% savings!)
🎯 How It Works
- Create:
pypm create myenv- Creates environment - Activate:
pypm activate myenv- Opens activated shell - Install:
pip install pandas- Packages go to central store - Use Anywhere: Activate same environment from any directory!
📦 Installation
pip install pypm-manager
🔧 Commands
# Environment Management
pypm create <name> # Create environment
pypm activate <name> # Activate (opens new shell)
deactivate # Deactivate current environment
pypm delete <name> # Delete environment
pypm list # List all environments
pypm info <name> # Show environment details
# Central Store
pypm store-info # View central store stats
pypm store-install <pkg> # Install to central store
pypm store-uninstall <pkg> # Remove from central store
💡 Complete Example
# Create data science environment
pypm create datascience
pypm activate datascience
# In activated shell - use pip normally:
pip install pandas numpy matplotlib seaborn scikit-learn jupyter
# Work on your project...
python my_analysis.py
# Deactivate
deactivate
# Later, from anywhere:
pypm activate datascience # Same environment!
🌟 Features
- ✅ Works like venv - Same familiar workflow
- ✅ Use standard
pip install- No new commands - ✅ Zero package duplication - 12-90% storage savings
- ✅ Machine-wide environments - Activate from anywhere
- ✅ Cross-platform - Windows, macOS, Linux
- ✅ No dependencies - Pure Python stdlib
🆚 vs Other Tools
| venv | conda | PyPM | |
|---|---|---|---|
| Duplication | Yes | Yes | No |
| Workflow | activate + pip | activate + conda | activate + pip |
| Learning Curve | None | Moderate | None |
| Storage Waste | High | High | Zero |
📁 Storage Locations
- Environments:
~/.pypm_envs/ - Central packages:
~/.pypm_central/site-packages/
🤝 Contributing
https://github.com/Avishek8136/pypm
📜 License
MIT License
PyPM v2.0 - No more duplicate packages! 🎉
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