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<h1 align="center">cmd2 : immersive interactive command line applications</h1>

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<p align="center"> <a href="#the-developers-toolbox">Develper's Toolbox</a> • <a href="#philosophy">Philosophy</a> • <a href="#installation">Installation</a> • <a href="#documentation">Documentation</a> • <a href="#tutorials">Tutorials</a> • <a href="#hello-world">Hello World</a> • <a href="#projects-using-cmd2">Projects using cmd2</a> • </p>

Screenshot

cmd2 is a tool for building interactive command line applications in Python. Its goal is to make it quick and easy for developers to build feature-rich and user-friendly interactive command line applications. It provides a simple API which is an extension of Python's built-in cmd module. cmd2 provides a wealth of features on top of cmd to make your life easier and eliminates much of the boilerplate code which would be necessary when using cmd.

The developers toolbox

system schema

When creating solutions developers have no shortage of tools to create rich and smart user interfaces. System administrators have long been duct taping together brittle workflows based on a menagerie of simple command line tools created by strangers on github and the guy down the hall. Unfortunately, when CLIs become significantly complex the ease of command discoverability tends to fade quickly. On the other hand, Web and traditional desktop GUIs are first in class when it comes to easily discovering functionality. The price we pay for beautifully colored displays is complexity required to aggregate disperate applications into larger systems. cmd2 fills the niche between high ease of command discovery applications and smart workflow automation systems.

The cmd2 framework provides a great mixture of both worlds. Application designers can easily create complex applications and rely on the cmd2 library to offer effortless user facing help and extensive tab completion. When users become comfortable with functionality, cmd2 turns into a feature rich library enabling a smooth transition to full automation. If designed with enough forethought, a well implemented cmd2 application can serve as a boutique workflow tool. cmd2 pulls off this flexibility based on two pillars of philosophy:

Philosophy

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Deep extensive tab completion and help text generation based on the argparse library create the first pillar of 'ease of command discovery'. The following is a list of features in this category.

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cmd2 creates the second pillar of 'ease of transition to automation' through alias/macro creation, command line argument parsing and execution of cmd2 scripting.

Installation

On all operating systems, the latest stable version of cmd2 can be installed using pip:

pip install -U cmd2

cmd2 works with Python 3.7+ on Windows, macOS, and Linux. It is pure Python code with few 3rd-party dependencies.

For information on other installation options, see Installation Instructions in the cmd2 documentation.

Documentation

The latest documentation for cmd2 can be read online here: https://cmd2.readthedocs.io/en/latest/

It is available in HTML, PDF, and ePub formats.

The best way to learn the cmd2 api is to delve into the example applications located in source under examples.

Tutorials

Hello World

#!/usr/bin/env python
"""A simple cmd2 application."""
import cmd2


class FirstApp(cmd2.Cmd):
    """A simple cmd2 application."""

  def do_hello_world(self, _: cmd2.Statement):
    self.poutput('Hello World')

if __name__ == '__main__':
    import sys
    c = FirstApp()
    sys.exit(c.cmdloop())

Found a bug?

If you think you've found a bug, please first read through the open Issues. If you're confident it's a new bug, go ahead and create a new GitHub issue. Be sure to include as much information as possible so we can reproduce the bug. At a minimum, please state the following:

Projects using cmd2

Application NameDescription
Jok3rNetwork & Web Pentest Automation Framework
CephFS ShellCeph is a distributed object, block, and file storage platform
psiTurkAn open platform for science on Amazon Mechanical Turk
PoseidonLeverages software-defined networks (SDNs) to acquire and then feed network traffic to a number of machine learning techniques.
UnipackerAutomatic and platform-independent unpacker for Windows binaries based on emulation
tomcatmanagerA command line tool and python library for managing a tomcat server
ExpliotInternet of Things (IoT) exploitation framework
mptcpanalyzerTool to help analyze mptcp pcaps
clanvasCommand-line client for Canvas by Instructure

Possibly defunct but still good examples