https://github.com/rexemin/nagui

A Dash application for network optimization algorithms.
https://github.com/rexemin/nagui

dash network-algorithms optimization-algorithms

Last synced: 4 months ago
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A Dash application for network optimization algorithms.

• Host: GitHub
• URL: https://github.com/rexemin/nagui
• Owner: rexemin
• License: gpl-3.0
• Created: 2019-05-07T05:11:20.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-03-12T00:01:07.000Z (about 6 years ago)
• Last Synced: 2025-02-15T10:29:06.147Z (over 1 year ago)
• Topics: dash, network-algorithms, optimization-algorithms
• Language: D
• Homepage:
• Size: 7.21 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Network Algorithms with a GUI (nagui)

A [Dash](https://plot.ly/dash/) application in Python 3 with a [D](https://dlang.org/) backend to create graphs, digraphs, and networks, and run common optimization algorithms on them.

The split between the front-end in Python and the back-end in D is a long story, but it grew out of an experiment I did during an undergraduate course.

## Dependencies

All the data structures and algorithms are located in the directory `app/lib`.

To compile them you need [rdmd](https://dlang.org/rdmd.html). 

The Dash application needs the following dependencies:

- dash

- dash_bootstrap_components

- dash_cytoscape

- numpy

- networkx

## Running it

There are different ways to run this program, depending on whether you have (or want to have) D installed.

### Using D and Python

If you have both languages, clone this repository and run the `install.sh` script. 

This script will create a Python virtual environment with all dependencies needed, and compile the complete D library.

After that, you can run `run.sh` to display the application locally.

### Using only Python

If you don't have, or don't want to use, D, you can download a version of nagui with the D library precompiled [here](https://github.com/rexemin/nagui/releases).

After that, enter the main directory of the application and run `run.sh`.

If you don't already have a Python virtual environment, it will automatically create it.

### Alternatives

Of course, you can still manage everything manually. 

The D library has a makefile to compile it.

The entry point for the Dash application is the file `index.py`.