Skip to main content
Texas Tech Computer Science - Whitacre College of Engineering

FSMD

Finite State Machine Diagram Tool

Python Version >= 3.7

A python command line tool for creating finite state machine diagrams from a file. Make deterministic and non-deterministic automata easily!

Made by Jaxcksn

Features

Current

  • Allows easy creation of an FSM diagram anywhere from a YAML file
  • Quickly create non-deterministic automata with epsilon transition support.
  • Included installer for Graphviz for Windows and MacOS.
  • Easy to install and use
  • Diagrams are automatically optimized to be the ideal size.

Planned

  • Allow changing output format
  • Improve input file capabilities
  • Add CLI options for sizing output
  • Add more rigorous input file checking
  • Linux support for installer
  • Improve reliability of installer

Installation

Pre-requisites

To use FSMD, Python 3.7 or greater is required to be installed. You must also have pip as well.

Install FSMD

To install FSMD you can run:

pip install FSMD

If you want to run the project directly, you can run the main.py file in the source folder, and Typer should take care of the rest.

Install Graphviz

The Graphviz library is required for FSMD to work properly, there are a few two ways (unless you are on Linux) to do this.

Automatic Install (Windows & MacOS Only)

FSMD includes an automatic installer for Graphviz. Each platform has different steps.

The automatic installer is experimental and not guaranteed to work, it's recommended to install Graphviz yourself if the automatic installer does not work for you.


Windows

Usage

To install on Windows, run the following command:

FSMD install

Note: The windows installer does not add the Graphviz executables to your system path. It instead installs to a location in %LOCALAPPDATA, which is added to the PATH only when running FSMD. If you don't know what this means, don't worry about it.


MacOS

Requirements

Automatic installation on MacOS requires Homebrew to be installed. You can install it by following the steps on this page.

Usage

Once you meet all the requirements, run the following command:

FSMD install

Manual Install (All Platforms)

Visit the Graphviz Download Page and follow the steps to install Graphviz for your platform.

Once downloaded and installed, make sure Graphviz is in your path by running:

dot --version

If the command runs with no issues, then you are ready to start using FSMD.

Using FSMD

Once you have the tool installed, you will need to create a file for FSMD to create a diagram of. Please see the FSM File Documentation for details.

To create the diagram, run the following command:

FSMD create FORMAT INPUT_FILE OUTPUT_FOLDER

Where FORMAT is png or svg To view all the options and arguments for the create command you can run:

FSMD create --help

Support

I am an active college student, so I stay pretty busy, but feel free to open an issue if you run into any problems, and I will look into it as soon as I can.

Metadata

Release files for FSMD 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for FSMD 1.1.0
File Size Uploaded
FSMD-1.1.0.tar.gz 23.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for FSMD 1.1.0
File Interpreter ABI Platform
FSMD-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 45.1 kB

Release files / FSMD-1.1.0.tar.gz

Download URL FSMD-1.1.0.tar.gz
Size 23.2 kB
Tags Source
SHA-256 checksum
How to use checksums
c1b01e138c48441db38cd6970d8197b39acf9b7a226b9762ae9a774b14378442
BLAKE2b-256 checksum
How to use checksums
68ec10d386a176d07ce3e2711de0161abc8156cd7b5bf87cd5e7f6f3f2690450
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.6

Release files / FSMD-1.1.0-py3-none-any.whl

Download URL FSMD-1.1.0-py3-none-any.whl
Size 21.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
34248f6d5360455c0f8e06f6bc7f3f4a91dee48d32631b84abd3cb7c56ae9bb3
BLAKE2b-256 checksum
How to use checksums
7a74a410db1f0682f64af031e967819af8b8c42cf1db2b8fe82aa330ae612792
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.6

Release history Release notifications | RSS feed

This release

1.1.0 This release

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page