venvstudio 1.3.9

Lightweight Python Virtual Environment Manager with modern GUI

VenvStudio

Lightweight Python Virtual Environment Manager
A modern, cross-platform virtual environment manager

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📦 Install

pip install venvstudio

Or download the standalone binary from GitHub Releases:

Platform	File
Windows	VenvStudio.exe
Linux	VenvStudio-x86_64.AppImage
macOS	VenvStudio-macOS
PyPI	pip install venvstudio

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✨ Features

• Create & manage Python virtual environments with a modern GUI
• Package management — install, uninstall, update packages via pip or uv
• 200+ package catalog with categories (Data Science, Web, ML, NLP, DevOps...)
• Quick presets — Data Science Starter, Web API, Django, Flask, ML, NLP, Testing...
• Launch apps — JupyterLab, Orange Data Mining, Spyder, IPython, Streamlit with one click
• Desktop shortcuts — create .lnk shortcuts with app-specific icons
• Export — requirements.txt, Dockerfile, docker-compose.yml, pyproject.toml, Conda environment.yml
• Python downloader — download standalone Python builds (astral-sh/python-build-standalone)
• PATH management — set User/System default Python with admin elevation
• Auto-update — check PyPI for new versions on startup
• Cross-platform — Windows, macOS, Linux
• Dark theme — modern Catppuccin-based UI
• Multilingual — English & Turkish

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📸 Screenshots

Environments

Create, manage, clone, rename, delete virtual environments. Open terminal with activated environment.

Create New Environment

Select Python version, location, and options. Shows equivalent terminal commands.

Installed Packages

View, filter, update, uninstall packages. Export in 6 formats. Right-click to copy pip commands.

Package Catalog

Browse 200+ packages organized by category. Check to install, uncheck to remove.

Quick Presets

One-click install for common project setups: Data Science, Web API, Django, Flask, ML, NLP, Testing, and more.

Launch Applications

Launch JupyterLab, Jupyter Notebook, Orange Data Mining, Spyder, IPython, Streamlit directly. Create desktop shortcuts.

Manual Install

Type or paste package names. Automatic cleanup of pip install prefixes and noise words.

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🚀 Quick Start

From PyPI

pip install venvstudio
venvstudio

From Source

git clone https://github.com/bayramkotan/VenvStudio.git
cd VenvStudio
pip install PySide6
python main.py

CLI

venvstudio          # Launch GUI
venvstudio -V       # Show version
venvstudio -h       # Help

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📤 Export Formats

Export your environment in multiple formats from the Export ▾ dropdown:

Format	File(s)	Use Case
📄 requirements.txt	requirements.txt	Standard pip
🐳 Dockerfile	Dockerfile + requirements.txt	Docker container
🐳 docker-compose.yml	3 files	Docker Compose
📦 pyproject.toml	pyproject.toml	Modern Python packaging
🐍 environment.yml	environment.yml	Conda compatibility
📋 Clipboard	—	Quick copy-paste

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⬇️ Python Downloader

Download standalone Python builds from astral-sh/python-build-standalone (same builds used by uv):

• User Install — no admin required, stored in VenvStudio config
• System Install — Windows (C:\Program Files), Linux (/opt/python), macOS (/usr/local/python)

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🐍 PATH Management

Manage which Python is the default on your system:

• Set User Default — adds to User PATH, removes conflicting entries
• Set System Default — adds to System PATH with admin elevation
• Both modes clean conflicting Python entries from both User and System PATH

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🔧 Settings

• Theme: Dark (Catppuccin), Light
• Language: English, Turkish
• Default package manager: pip or uv
• Custom venv base directory (default: C:\venv on Windows, ~/venv on Linux/macOS)
• Python version management
• Check for updates on startup
• Export/Import settings

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🏗️ Build from Source

pip install pyinstaller PySide6 Pillow
python build.py

This creates platform-specific binaries in the dist/ folder.

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📝 License

LGPL-3.0

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🔗 Links

• GitHub Repository
• PyPI Package
• Releases
• Issues