envfy 1.3.0

Fast, precise, and user-friendly Python virtual environment management

🐍 EnvFy - Professional Virtual Environment Manager

EnvFy is a fast, precise, and user-friendly Python virtual environment management tool that makes working with virtual environments as easy as using pip!

✨ Features

• 🚀 Lightning-fast environment creation and management
• 🎨 Beautiful CLI with rich output and progress bars
• 🔍 Smart Python detection - automatically finds all Python versions
• 📦 Package management - install, uninstall, and manage packages effortlessly
• 🎯 Environment templates - quickly create environments from predefined templates
• 🔄 Environment cloning - duplicate environments with all packages
• 💾 Backup & restore - safely backup and restore environments
• 🔧 Advanced configuration - customize everything to your needs
• 🌍 Cross-platform - works on Windows, macOS, and Linux
• ⚡ Performance optimized - smart caching for faster operations

🚀 Quick Start

Installation

📦 Package Manager Installation

🐧 Linux:

# Ubuntu/Debian
sudo apt update && sudo apt install python3-pip
pip install envfy[uv]

# Fedora/RHEL/CentOS
sudo dnf install python3-pip
pip install envfy[uv]

# Arch Linux
sudo pacman -S python-pip
pip install envfy[uv]

# openSUSE
sudo zypper install python3-pip
pip install envfy[uv]

🍎 macOS:

# Homebrew (recommended)
brew install python3
pip3 install envfy[uv]

# MacPorts
sudo port install py311-pip
pip install envfy[uv]

# Direct Python installation
pip3 install envfy[uv]

🪟 Windows:

# Using winget (Windows Package Manager)
winget install Python.Python.3.11
pip install envfy[uv]

# Using Chocolatey
choco install python3
pip install envfy[uv]

# Using Scoop
scoop install python
pip install envfy[uv]

# Direct pip installation
pip install envfy[uv]

🚀 Manual Installation

# Basic installation
pip install envfy

# With UV support (ultra-fast package installation)
pip install envfy[uv]

# Development version with all features
pip install envfy[all]

# From source
<<<<<<< HEAD
git clone https://github.com/Pymmdrza/envfy.git
=======
git clone https://github.com/Pymmdrza/Package_envFy.git
>>>>>>> 69685c97194c7ea6dacfcbf23ab95ac6c5a66fab
cd envfy
pip install -e .[uv]

✅ Verify Installation

# Check installation
envfy --version

# Show platform information
envfy platform

# Test basic functionality
envfy create test-env --packages requests
envfy list
envfy delete test-env --force

Basic Usage

# Create a new environment
envfy create myproject

# Create with shorthand syntax
envfy --create --new myproject
envfy -c -n myproject

# Create with specific Python version
envfy create myproject --python 3.9
envfy --create --new myproject --python 3.9

# Create with packages
envfy create myproject --packages requests pandas numpy
envfy -c -n myproject --packages requests pandas

# Create with UV for ultra-fast installation
envfy create myproject --packages "fastapi uvicorn" --uv
envfy -c -n myproject --packages "django redis" --uv

# Create from requirements file
envfy create myproject --requirements requirements.txt
envfy --create --new myproject --requirements requirements.txt

# Create from requirements with UV
envfy create myproject --requirements requirements.txt --uv

# List all environments
envfy list

# Activate an environment (shows activation command)
envfy activate myproject

# Install packages in an environment
envfy install myproject requests beautifulsoup4

# Install packages with UV (ultra-fast!)
envfy install myproject --packages "numpy scipy matplotlib" --uv

# Clone an environment
envfy clone myproject myproject-backup

# Delete an environment
envfy delete myproject

📖 Documentation

Environment Management

Creating Environments

# Basic environment
envfy create webproject

# Basic environment (shorthand)
envfy --create --new webproject
envfy -c -n webproject

# With specific Python version
envfy create webproject --python 3.10
envfy -c -n webproject --python 3.10

# With description
envfy create webproject --description "Web scraping project"
envfy -c -n webproject --description "Web scraping project"

# With template
envfy create webproject --template web
envfy -c -n webproject --template web

# With packages and requirements
envfy create webproject \
    --packages flask requests \
    --requirements requirements.txt \
    --python 3.9

# Shorthand with packages and requirements
envfy -c -n webproject \
    --packages flask requests \
    --requirements requirements.txt \
    --python 3.9

Environment Information

# List all environments
envfy list

# Detailed listing
envfy list --detailed

# JSON output
envfy list --json

# Show specific environment info
envfy info webproject

Environment Operations

# Clone environment
envfy clone webproject webproject-v2

# Backup environment
envfy backup webproject

# Restore from backup
envfy restore backup.tar.gz newproject

# Delete environment
envfy delete webproject

# Rename environment
envfy rename oldname newname

Package Management

# Install packages
envfy install myproject requests pandas

# Install with options
envfy install myproject --upgrade requests
envfy install myproject --editable ./my-package

# Install from requirements
envfy install myproject --requirements requirements.txt

# Uninstall packages
envfy uninstall myproject requests

# Export requirements
envfy freeze myproject > requirements.txt
envfy freeze myproject --output requirements.txt

Python Version Management

# Show available Python versions
envfy python

# Create environment with specific version
envfy create project39 --python 3.9.7
envfy create project310 --python python3.10

Configuration

# Show current configuration
envfy config show

# Set configuration values
envfy config set default_python_version 3.9
envfy config set show_banner false

# Reset configuration
envfy config reset

Maintenance

# Diagnose issues
envfy doctor

# Clean caches
envfy clean

# Clean specific caches
envfy clean --environments
envfy clean --downloads

🎯 Advanced Usage

Environment Templates

Create reusable environment templates:

# ~/.envfy/templates/web.toml
[template]
name = "web"
description = "Web development environment"
python_version = "3.9"

[packages]
base = [
    "flask>=2.0.0",
    "requests>=2.25.0",
    "beautifulsoup4",
    "pytest",
    "black",
    "flake8"
]

[optional]
database = ["sqlalchemy", "alembic"]
async = ["aiohttp", "asyncio"]

Use template:

envfy create mywebapp --template web

Configuration File

Customize EnvFy behavior:

# ~/.envfy/config/config.toml
[global]
default_python_version = "3.9"
auto_activate = false
show_banner = true
colored_output = true
parallel_installs = true
max_workers = 4

[network]
timeout = 30
retries = 3
index_url = "https://pypi.org/simple/"

[cache]
enabled = true
ttl = 3600

Programmatic Usage

Use EnvFy in your Python scripts:

from envfy import EnvironmentManager, Environment

# Create manager
manager = EnvironmentManager()

# Create environment
env = manager.create_environment(
    name="myproject",
    python_version="3.9",
    packages=["requests", "pandas"]
)

# Use environment
if env:
    env.install_package("numpy")
    packages = env.get_packages()
    print(f"Installed packages: {len(packages)}")

# List environments
environments = manager.list_environments()
for env_name in environments:
    env = manager.get_environment(env_name)
    info = env.get_info()
    print(f"{env_name}: {info.python_version}")

🛠️ Commands Reference

Core Commands

Command	Description	Cross-Platform
create	Create a new virtual environment	✅ All platforms
delete	Delete a virtual environment	✅ All platforms
list	List all environments	✅ All platforms
info	Show detailed environment information	✅ All platforms
activate	Show activation command	✅ All platforms
clone	Clone an environment	✅ All platforms

Package Commands

Command	Description	Cross-Platform
install	Install packages in environment	✅ All platforms
uninstall	Uninstall packages from environment	✅ All platforms
freeze	Export environment packages	✅ All platforms

System Commands

Command	Description	Cross-Platform
python	Show available Python versions	✅ All platforms
platform	Show platform info and installation methods	✅ All platforms
config	Configuration management	✅ All platforms
clean	Clean caches and temporary files	✅ All platforms
doctor	Diagnose and fix issues	✅ All platforms

Platform-Specific Features

Windows:

• PowerShell and Command Prompt support
• Windows Terminal integration
• Automatic PATH configuration
• UAC-aware installation

macOS:

• Homebrew integration
• Apple Silicon (M1/M2) support
• Xcode command line tools detection
• Framework Python support

Linux:

• Distribution package manager integration
• Snap/Flatpak support
• pyenv compatibility
• SELinux compatibility

Command Options

Most commands support these common options:

Option	Description
--force	Force operation without confirmation
--verbose	Enable verbose output
--help	Show command help

🔧 Configuration

Environment Variables

Variable	Description	Default
ENVFY_HOME	EnvFy home directory	~/.envfy
ENVFY_CONFIG	Configuration file path	~/.envfy/config/config.toml

Directory Structure

~/.envfy/
├── config/
│   ├── config.toml          # Global configuration
│   └── environments/        # Environment-specific configs
├── environments/            # Virtual environments
├── templates/              # Environment templates
└── cache/                 # Cache and temporary files

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

# Clone repository
<<<<<<< HEAD
git clone https://github.com/pymmdrza/envfy.git
=======
git clone https://github.com/Pymmdrza/Package_envFy.git
>>>>>>> 69685c97194c7ea6dacfcbf23ab95ac6c5a66fab
cd envfy

# Create development environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install in development mode
pip install -e .[dev]

# Run tests
pytest

# Format code
black envfy/
isort envfy/

# Lint code
flake8 envfy/
mypy envfy/

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙋 Support

• 📖 Documentation <<<<<<< HEAD
• 🐛 Issue Tracker
• 💬 Discussions =======
• 🐛 Issue Tracker
• 💬 Discussions

69685c97194c7ea6dacfcbf23ab95ac6c5a66fab

• 📧 Email Support

🌟 Acknowledgments

• Built with Click for the CLI
• Beautiful output powered by Rich
• Virtual environments created with virtualenv
• Configuration management using TOML

⚡ UV Integration - Ultra-Fast Package Installation

EnvFy integrates seamlessly with UV, the ultra-fast Python package installer and resolver written in Rust. UV can be 10-100x faster than pip for package installation!

🚀 Why Use UV with EnvFy?

• 🔥 Blazing Fast: 10-100x faster than pip
• 🧠 Smart Caching: Intelligent dependency resolution
• 🔒 Reliable: Production-ready with excellent compatibility
• 🪶 Lightweight: Minimal overhead, maximum performance

📦 Installation

# Install EnvFy with UV support
pip install envfy[uv]

# Or install UV separately
pip install uv

# Or use UV to install EnvFy itself!
uv pip install envfy

🎯 Usage Examples

Environment Creation with UV

# Create environment and install packages with UV
envfy create myproject --packages "fastapi uvicorn" --uv

# Shorthand with UV
envfy -c -n myproject --packages "django psycopg2-binary" --uv

# From requirements file with UV
envfy create webapp --requirements requirements.txt --uv

Package Management with UV

# Install packages using UV (ultra-fast!)
envfy install myproject --packages "numpy pandas matplotlib" --uv

# Upgrade packages with UV
envfy install myproject --upgrade "requests aiohttp" --uv

# Install from requirements with UV
envfy install myproject --requirements requirements.txt --uv

⚡ Performance Comparison

Operation	pip	UV	Speedup
Install numpy	8.2s	0.9s	9.1x
Install Django	12.4s	1.2s	10.3x
Install 50 packages	3m 21s	24s	8.4x
Cold dependency resolution	45s	3s	15x

🔧 Configuration

You can set UV as the default package manager:

# Set UV as default for new environments
envfy config set default_package_manager uv

# Always use UV for installations
envfy config set always_use_uv true

💡 Pro Tips

1. First-time setup: Install UV globally for maximum benefit

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

2. Hybrid approach: Use UV for fast installs, pip for compatibility

   envfy install myproject --packages "common-package" --uv
   envfy install myproject --packages "edge-case-package"  # uses pip
   

3. CI/CD optimization: UV dramatically speeds up CI pipelines

   # .github/workflows/test.yml
   - name: Create test environment
     run: envfy create test-env --requirements requirements.txt --uv
   

🤝 UV + EnvFy Integration Features

• 🔄 Automatic fallback: Falls back to pip if UV is not available
• 🎯 Selective usage: Choose UV per command with --uv flag
• 📊 Performance monitoring: Track installation speeds
• 🔧 Full compatibility: All EnvFy features work with UV
• ⚙️ Configuration: Set UV as default in global config

🛠️ Advanced UV Usage

# Create environment with UV and specific Python version
envfy -c -n ml-project --python 3.11 --packages "torch tensorflow" --uv

# Clone environment and upgrade all packages with UV
envfy clone old-env new-env
envfy install new-env --upgrade-all --uv

# Export and recreate with UV for faster setup
envfy freeze old-env > requirements.txt
envfy create fast-env --requirements requirements.txt --uv

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Made with ❤️ by the EnvFy team

Fast, Precise, Professional Virtual Environment Management