LynxHub Python Toolkit Extension

Python Toolkit Extension brings Python installation, virtual environment, package, and requirements management into LynxHub. It is built for managing Python-backed AI tools and modules without leaving the LynxHub workspace.

• 🚀 What it can do
  • 🐍 Python Management
  • 🌐 Virtual Environments
  • 📦 Package Manager
  • 📝 Requirements Manager
  • 🤖 LynxHub Integration
• ⚙️ Settings
• 📸 Screenshots
• ⬇️ Installation
• 🤝 Contribution
• 📄 License

• Auto-detect Python installations: Finds installed Python versions, including Conda installations, and keeps them available inside LynxHub.
• Install Python versions: Install official Python builds or Conda-based versions directly from the extension.
• Locate existing Python executables: Manually add an already-installed Python when it is not detected automatically.
• Refresh detected installations: Re-scan Python installations from the UI when your system changes.
• Set defaults: Mark a Python as the system default or the LynxHub default.
• Inspect installations: View version, installation type, path, package count, disk usage, and related package tools.
• Uninstall supported installs: Remove official or Conda-managed Python installations through the toolkit.

• Create virtual environments: Choose a Python version, destination folder, and environment name from a compact creator popover.
• Upgrade core packages on creation: Optionally create venvs with upgraded core dependencies when supported by the selected Python version.
• Locate existing environments: Add existing virtual environments to LynxHub after validation.
• Treat Conda envs as environments: Conda installations are shown alongside regular venvs where appropriate.
• Inspect environment details: View Python version, path, package count, disk usage, and environment source.
• Associate environments with LynxHub modules: Assign one or more AI/tool modules to a virtual environment so shared dependencies can live in one place.
• Manage venv packages: Open the package manager for any detected virtual environment.

• Browse installed packages: See packages installed in each Python or virtual environment.
• Install multiple packages: Add packages manually, paste multiple requirement lines, or import packages from one or more requirements files.
• Install requirements files directly: Queue one or more requirements files and run them as pip install -r ... without converting them into individual package chips.
• Edit queued package specs: Edit package chips using their raw/original requirement line before installing.
• Support richer requirement syntax: Handles version operators, extras, environment markers, URL entries, and PEP 508-style package URLs.
• Advanced pip options: Add a custom index URL and extra pip flags before install.
• Terminal preview: Preview and copy the generated pip install command before running it.
• Check package updates: Check installed packages for available updates.
• Interactive update modal: Review available updates, filter by update type, and update selected packages or update all.
• Update feedback: Shows a clear notification when no package updates are available.
• Live terminal output: Package install and update operations run through a terminal view so progress is visible.

• Auto-detect project requirements: Finds the best matching requirements file in a project folder, preferring requirements.txt when available.
• Select or deselect a requirements file: Switch between files or clear the selected file for a module/environment.
• Search requirements: Quickly filter requirements by package name.
• Add, edit, and remove requirements: Manage package name, version constraints, extras, markers, URL entries, and raw lines from the UI.
• Import multiple requirements files: Merge packages from several requirements files into the selected file.
• Resolve import conflicts: Keep the current requirement, use the imported one, or keep both when imported files disagree.
• Skip duplicates safely: Identical requirement entries are skipped during import, while entries with different markers can coexist.
• Save cleaned requirements: Writes the edited requirements back to disk while preserving URL-based entries.

• Tools page card: Open the Python Toolkit from the LynxHub tools page.
• AI/module menus: Access package and requirements management from module-specific menus.
• Supported module presets: Includes Python dependency support for LynxHub modules such as Rsxdalv_AG, ComfyUI-Lora-Manager, Ostris AI Toolkit, and Smart Gallery references.
• Shared LynxHub UI: Uses LynxHub toast notifications, tab modals, terminal components, storage APIs, and the current HeroUI-based design system.

• Concurrent operations: Configure package-management concurrency where supported.
• Retry behavior: Tune retry handling for package operations.
• Package name display: Choose how package names are displayed in the package manager.
• Cache usage: Cache package/environment disk usage calculations to avoid repeated expensive scans.

1. Install LynxHub: Ensure that you have LynxHub installed on your system.
2. Install Extension: Install the Python Toolkit Extension from the LynxHub extension page.

Contributions are welcome! If you'd like to contribute to the project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Submit a pull request.

This project is licensed under the MIT License.