🐍 VenvStudio

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

Platform

📦 Install

pip install venvstudio
venvstudio

🐧 On Linux, pip may refuse to install. Most current distributions mark the system Python as externally managed (PEP 668), so a plain pip install stops with error: externally-managed-environment. Two ways around it:

# Isolated — recommended, no system packages touched
pipx install venvstudio

# Into the system Python — needs the override flag
sudo pip install venvstudio --break-system-packages --no-cache-dir -U

The same flag applies when upgrading a system-wide install later on.

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

✨ Features

🗂️ Environment Management

  • 8 environment types — Python venv, uv, Poetry, Conda (micromamba), pipx, Hatch, PDM, Pixi
  • 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, 🏗️ Hatch, 📦 PDM, 🌊 Pixi)
  • 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
🏗️ Hatch hatch new Modern Python project manager by PyPA with pyproject.toml
📦 PDM pdm init PEP 582 / pyproject.toml based package manager
🌊 Pixi pixi init conda-forge + PyPI, blazing fast Rust-powered environment

📦 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
  • 22 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
  • Conda mirrors — reorderable list with automatic failover; a Skip Mirror button jumps to the next one mid-install instead of waiting out a slow server
  • pipx interpreter — pin which Python your CLI apps get installed with, useful when the newest release is ahead of the tools you need
  • 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

🚀 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
Jupyter JupyterLab Next-gen interactive development environment for notebooks 📓 Notebooks jupyter.org
Jupyter Jupyter Notebook Classic notebook interface for interactive computing 📓 Notebooks jupyter.org
Streamlit Streamlit Build data apps in minutes with pure Python 🌐 Web Apps streamlit.io
Gradio Gradio Build and share ML demos and web apps 🌐 Web Apps gradio.app
Dash Plotly Dash Analytical web applications with Python 🌐 Web Apps dash.plotly.com
Panel Panel High-level app and dashboarding framework 🌐 Web Apps panel.holoviz.org
Voilà Voilà Turn Jupyter notebooks into standalone web apps 🌐 Web Apps voila.readthedocs.io
FastAPI FastAPI Modern, fast web framework for building APIs ⚡ API fastapi.tiangolo.com
TensorBoard TensorBoard Visualization toolkit for machine learning experiments 📊 ML Ops tensorflow.org/tensorboard
MLflow MLflow Platform for the complete ML lifecycle 📊 ML Ops mlflow.org
Spyder Spyder IDE Scientific Python development environment 🔬 IDE spyder-ide.org
Orange Orange Data Mining Visual programming for data analysis and ML 🔬 Data Science orangedatamining.com
Datasette Datasette Explore and publish data with instant JSON API 🗄️ Data datasette.io
Marimo Marimo Reactive notebook — no hidden state, runs as an app 📓 Notebooks marimo.io
Quarto Quarto Publish documents, reports and dashboards 📄 Publishing quarto.org
IPython 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-desktop) 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)

🚀 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 is a GUI first, but the core actions work headless too — handy over SSH, in scripts, or when you just want one quick thing done.

Installing with pip gives you two names for the same tool: vs to type and venvstudio to read. Use whichever you like.

Short Full What it does
vs venvstudio Launch the GUI
vs list venvstudio list List every detected environment
vs create NAME venvstudio create NAME Create a venv environment
vs create NAME -t uv venvstudio create NAME -t uv Create a uv environment
vs create NAME -t hatch venvstudio create NAME -t hatch Create a Hatch environment
vs create NAME -t pdm venvstudio create NAME -t pdm Create a PDM environment
vs create NAME -t pixi venvstudio create NAME -t pixi Create a Pixi environment
vs delete NAME venvstudio delete NAME Delete an environment (asks first)
vs delete NAME -y venvstudio delete NAME -y Delete without the confirmation prompt
vs packages ENV venvstudio packages ENV List packages installed in ENV
vs install ENV PKG... venvstudio install ENV PKG... Install one or more packages into ENV
vs uninstall ENV PKG... venvstudio uninstall ENV PKG... Uninstall packages from ENV
vs -V venvstudio -V Show version (also: version)
vs -h venvstudio -h Show help 
vs                        # short and sweet
venvstudio list           # or spell it out
vs install myenv requests httpx

On Windows, venvstudio-gui starts the GUI without a console window.

📤 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

⬇️ Python Downloader

Download standalone Python builds straight from VenvStudio — no system install, no admin rights needed.

Five sources, tried in order until one answers:

Source What it serves
Astral (default) python-build-standalone via GitHub Releases — the same builds uv uses
GitHub Releases Same builds, fetched directly
python.org Official CPython source tarballs
SourceForge Mirror — often faster in some regions
Custom URL Point it anywhere you like

The default chain is Astral → GitHub → python.org: if one is unreachable or slow, VenvStudio moves to the next on its own. Pick your preferred source in Settings → Python.

Install target:

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

🏗️ Build from Source

pip install pyinstaller PySide6 Pillow
python build.py

📝 License

LGPL-3.0

Made with ❤️ by Bayram Kotan

GitHub · Releases · Issues · Screenshots

⭐ If VenvStudio helps you, give it a star! ⭐

Project links

Data verified by PyPI on Aug 15, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (1.6.80)

1 maintainer

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Avatar for bayram from gravatar.com bayram

Credits

Author: Bayram Kotan

GitHub Statistics

Data verified by PyPI on Aug 15, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GNU Lesser General Public License v3 or later (LGPLv3+) (LGPL-3.0-or-later)

Requires

Python >=3.10

Provides Extra

dev fast

Tags

python virtual-environment venv pip uv package-manager gui desktop qt pyside6

Classifiers

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