Cuisine: A Python Task Automation Tool for UNIX Systems
This repository profile is provided by osrepos.com, an open source repository discovery platform.
Summary
Cuisine is a Python-based task automation tool that provides a platform-neutral abstraction over operating system operations. It is designed as a simple, flat API for interacting with one or more servers, making it ideal for remote scripting piloted by Python.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
Cuisine is a powerful task automation tool written in Python, offering a platform-neutral abstraction layer over your operating system. It's designed with a simple, flat API to facilitate interaction with multiple servers, making remote scripting in Python straightforward and efficient. While providing a general abstraction, Cuisine is specifically intended for UNIX systems and includes specialized functions for common package managers like apt (Debian, Ubuntu), yum (Redhat, Fedora), and pkg (FreeBSD).
Cuisine positions itself as a lower-level API compared to tools like Salt, giving users more control, while building upon the concepts of running commands across hosts, similar to Fabric, which it previously leveraged.
Installation
Cuisine is a Python package. While specific installation instructions are best found on the official GitHub repository, it is typically installed using pip.
pip install cuisine
Examples
Cuisine offers a simple, low-level API for fundamental OS operations, enabling users to write custom automation scripts in Python. Its design focuses on providing direct control over system interactions.
For detailed usage examples and to explore its capabilities, please refer to the official GitHub repository.
Why Use Cuisine?
Here are compelling reasons to choose Cuisine for your automation needs:
- You prefer to use Python rather than shell scripts for automation.
- You prefer a simple solution to a complex framework.
- You want to have full control over your automation process.
Links
- Official GitHub Repository: sebastien/cuisine
Related repositories
Similar repositories that may be relevant next.

Meshtastic-MCP: AI Tooling for Meshtastic Device Control and Testing
September 27, 2026
Meshtastic-MCP provides an MCP server and agent skills designed for AI tooling to discover, drive, observe, and test Meshtastic devices and applications. It offers a comprehensive suite of capabilities, from portable device control to advanced hardware-free end-to-end testing and replay functionalities. This project aims to streamline the development and testing of Meshtastic ecosystems.
AutoResearch: AI/ML Research Agents from Idea to Paper-Ready Evidence
September 22, 2026
AutoResearch is an open-source agent workflow designed for AI and machine learning research. It automates the entire research process, from generating ideas and planning experiments to execution, analysis, and independent evaluation. This project helps researchers produce paper-ready evidence efficiently and with traceable provenance.
HarnessRouter: Unified Interface for AI Agent Harnesses
September 22, 2026
HarnessRouter Community Edition provides a self-hosted, Apache-2.0 licensed unified interface for various AI agent harnesses like Codex, Claude Code, and Hermes. It allows users to run multiple agents through a single API, offering features such as sessions, streaming, file handling, and cancellation. The project implements the open-standard Unified Harness Protocol (UHP), ensuring users maintain control over their keys and infrastructure.

AREX-Skill: A Skill Library for Automated Machine Learning and Auto-Research
September 21, 2026
AREX-Skill is a powerful skill library designed to advance automated machine learning and auto-research. It distills over 5,000 executable skills from more than 1,000 popular GitHub repositories, making complex ML knowledge directly usable by coding agents. This project significantly enhances agent performance in various research tasks by providing structured, validated operating knowledge.
Source repository
Open the original repository on GitHub.
19 counted GitHub visits