Welcome to ToolBoxV2 🧰¶

ToolBoxV2 is a flexible, modular framework designed for creating and managing a wide range of tools, functions, and complete applications. It supports deployment locally, on the web, or as cross-platform desktop/mobile applications.

At its core, ToolBoxV2 integrates a Python backend with a Rust server and a Tauri-based UI, offering a powerful and versatile development experience.

Free software: Custom License
Officel Web page: https://simplecore.app/
GitHub Repository: https://github.com/MarkinHaus/ToolBoxV2

Key Goals & Features¶

ToolBoxV2 aims to simplify the development and usage of digital tools by:

🔌 Modularity: Build applications from reusable Python modules (mods) and utilities (utils).
⚙️ Automation: Facilitate automation of tasks through CLI interactions and programmable APIs.
🌐 Cross-Platform Interfaces:
- Develop Desktop Applications using Tauri (Rust + Web UI).
- Create Web Applications with the tbjs frontend framework.
- Interact via a robust Command Line Interface (CLI).
🚀 Performance & Safety: Leverage Rust for backend server components (Actix) and Python for scripting and application logic.
🧩 Extensibility: Easily create and integrate new functions, tools, or full mini-applications.
System Independence: Strives to make applications and tools runnable across different operating systems.
Unified Development: Provides a cohesive environment for Python, Rust, and web technologies.

Getting Started¶

Installation: For detailed instructions on how to install the core Python library or set up the full-stack development environment, please see the Installation Guide.
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# Quick install for the Python package pip install ToolBoxV2
Developer Guide: To learn how to create modules, use the App class, and interact with the CLI, explore the full Developer Documentation.
Explore the Code: Dive into the GitHub Repository to see the project structure and contribute.

Example Use Cases¶

ToolBoxV2 can be used for: * Personal productivity tools (calendars, note-takers). * Development utilities and automation scripts. * Custom internal business applications. * Interactive data processing and visualization tools. * And much more!

Credits¶

This package was created with inspiration from project structures like those generated by Cookiecutter and templates such as giswqs/pypackage.