venvstudio 1.4.63

Lightweight Python Virtual Environment Manager with modern GUI

🐍 VenvStudio

Lightweight Python Virtual Environment Manager
Create, manage, and launch your Python environments — all from a modern GUI

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📦 Install

pip install venvstudio
venvstudio

Or download the standalone binary — no Python required:

Platform	File	Notes
🪟 Windows	VenvStudio.exe	Portable — just run
🐧 Linux	VenvStudio-x86_64.AppImage	chmod +x then run
🍎 macOS	VenvStudio-macOS	Apple Silicon + Rosetta 2

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✨ Features

🗂️ Environment Management

• 5 environment types — Python venv, uv, Poetry, Conda (micromamba), pipx
• Create, rename, clone, delete virtual environments with a modern GUI
• Type column — see each env's package manager at a glance (🐍 venv, ⚡ uv, 📜 Poetry, 🦎 Conda, 📦 pipx)
• Runtime column — actual Python version detected from each environment's binary
• Auto-detect existing environments on disk at startup
• Per-environment cache — instant load, no subprocess delays
• Set a Default Environment that opens automatically on launch
• Open terminal with environment pre-activated (cmd, PowerShell, pwsh, bash, zsh, fish...)
• Export as requirements.txt, requirements-frozen.txt (SHA-256 hashes), JSON, Dockerfile, docker-compose.yml, pyproject.toml, environment.yml

🔧 Supported Environment Types

Icon	Type	Backend	Description
🐍	Python venv	python -m venv	Standard virtual environment with pip
⚡	uv	uv venv	Rust-powered — 10–100× faster than pip
📜	Poetry	poetry new	Dependency management with lock file
📦	pipx	pipx install	Isolated CLI applications
🦎	Conda	micromamba	conda-forge — R, RStudio, jamovi, JASP, DBeaver and 25,000+ packages

📦 Package Management

• Installed tab — filter, select, uninstall, export, import packages
• Catalog tab — 200+ curated packages across 15 categories with PyPI & Docs links
• Presets tab — one-click install bundles (Data Science, Web API, Django, Flask, ML, NLP, CV, Testing...)
• Manual Install tab — paste package names or version specs (numpy==1.24, pandas>=2.0)
• pip or uv backend (uv is 10–100× faster)

🚀 Quick Launch

• Sidebar shows installed apps for the active environment
• 13+ one-click launchers — see full list below
• System tools — R, RStudio, Ollama, DBeaver, jamovi, JASP via Conda
• Jupyter Working Directory — configurable (Home / Env Folder / Custom Path)
• Create Desktop Shortcut for any app
• Instant sync between sidebar dropdown, environment table, and package panel

🐍 Python Management

• Auto-detect all system Python installations
• Add custom Python paths
• Set User Default or System Default Python (PATH management with optional admin elevation)
• Download standalone Python builds from python-build-standalone

⚙️ Settings & Customization

• 🌙 13 themes (8 dark + 5 light, Catppuccin-based)
• 3-level font system (Headings / UI & Menus / Details)
• 🌍 11 languages: EN, TR, DE, ES, RU, JA, AR, FR, PT, ZH, KO
• Custom venv base directory
• Custom terminal, catalog categories, and packages
• CLI/TUI Tools: Starship (preset preview, inline config editor, test terminal), Oh My Posh, Nerd Fonts
• Auto-check for updates on startup

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🚀 Supported Launchers

Launch any of these tools directly from VenvStudio — if installed in the active environment, it appears in the sidebar automatically.

📓 Python Launchers (pip / uv)

	Tool	Description	Category	Website
	JupyterLab	Next-gen interactive development environment for notebooks	📓 Notebooks	jupyter.org
	Jupyter Notebook	Classic notebook interface for interactive computing	📓 Notebooks	jupyter.org
	Streamlit	Build data apps in minutes with pure Python	🌐 Web Apps	streamlit.io
	Gradio	Build and share ML demos and web apps	🌐 Web Apps	gradio.app
	Plotly Dash	Analytical web applications with Python	🌐 Web Apps	dash.plotly.com
	Panel	High-level app and dashboarding framework	🌐 Web Apps	panel.holoviz.org
	Voilà	Turn Jupyter notebooks into standalone web apps	🌐 Web Apps	voila.readthedocs.io
	FastAPI	Modern, fast web framework for building APIs	⚡ API	fastapi.tiangolo.com
	TensorBoard	Visualization toolkit for machine learning experiments	📊 ML Ops	tensorflow.org/tensorboard
	MLflow	Platform for the complete ML lifecycle	📊 ML Ops	mlflow.org
	Spyder IDE	Scientific Python development environment	🔬 IDE	spyder-ide.org
	Orange Data Mining	Visual programming for data analysis and ML	🔬 Data Science	orangedatamining.com
	Datasette	Explore and publish data with instant JSON API	🗄️ Data	datasette.io
	IPython	Enhanced interactive Python shell	🐍 Shell	ipython.org

🛠️ System Tools (Conda / Portable)

Available in Conda environments — installed via conda-forge or detected on system.

Tool	Description	Install Method
R	Statistical computing language	Conda (r-base) or system installer
RStudio	IDE for R	Conda (rstudio) or portable download
Ollama	Run large language models locally	Portable binary
DBeaver	Universal database tool	Conda or portable ZIP
jamovi	Statistical spreadsheet	Conda or AppImage (Linux)
JASP	Bayesian statistics	Conda or AppImage (Linux)

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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

Linux — System Dependencies

Before running VenvStudio on Linux, install the required Qt/XCB libraries:

Debian / Ubuntu / Pardus / Linux Mint:

sudo apt update
sudo apt install libxcb-xinerama0 libxcb-cursor0 libxcb-icccm4 libxcb-image0 \
                 libxcb-keysyms1 libxcb-render-util0 libxcb-shape0 libxkbcommon-x11-0

Arch Linux / CachyOS / Manjaro:

sudo pacman -S xcb-util-cursor xcb-util-icccm xcb-util-image \
               xcb-util-keysyms xcb-util-renderutil libxkbcommon-x11

Fedora / RHEL / CentOS:

sudo dnf install libxcb xcb-util-cursor xcb-util-icccm xcb-util-image \
                 xcb-util-keysyms xcb-util-renderutil libxkbcommon-x11

openSUSE Leap / Tumbleweed:

sudo zypper install libxcb-cursor0 libxcb-icccm4 libxcb-image0 \
                    libxcb-keysyms1 libxcb-render-util0 libxkbcommon-x11-0 libgthread-2_0-0

Note: If the AppImage fails with Could not load the Qt platform plugin "xcb", installing these packages will fix it.

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
🔒 requirements-frozen.txt	requirements-frozen.txt	Reproducible install with SHA-256 hashes
📋 JSON	packages.json	Machine-readable package list
🐳 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 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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🏗️ Build from Source

pip install pyinstaller PySide6 Pillow
python build.py

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📝 License

LGPL-3.0

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Made with ❤️ by Bayram Kotan

GitHub · Releases · Issues · Screenshots

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