Skip to main content

Produce Antimony Files and Graphs using a browser GUI

Project description

AMC-OWMVG

Antimony Model Creator - Olivia Walsh, Matthew Van Ginneken

This package allows the user to visualize a reaction via a steady state graph. The user can create and submit their own reactions on the Flask Webpage, or they can submit an antimony txt file or a SBML file also through the webpage. The Webpage will run a simulation using the reactions with tellurium and show the steady state graph.

Installation

To install this package the user should open up to their terminal and navigate to the directory of choice (example below to get to Desktop)

cd Desktop

Next the user must use a pip installation of the program

pip install AMC-OWMVG

Once the terminal has confirmed installation, the user must make a python file and fill it with the following code. Then they execute their python file using either a terminal or IDE.

import AMCowmvg as AMC AMC.runApp()

This will produce a few lines of response including a website link, the user should copy and paste this into their browser.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

AMCowmvg-1.0.7.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

AMCowmvg-1.0.7-py3-none-any.whl (7.2 kB view details)

Uploaded Python 3

File details

Details for the file AMCowmvg-1.0.7.tar.gz.

File metadata

  • Download URL: AMCowmvg-1.0.7.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for AMCowmvg-1.0.7.tar.gz
Algorithm Hash digest
SHA256 8c4fd72492f9c7cec4037c6e1ae8962856cbd99dc2d3249bed194753172a1618
MD5 4a3bfa11cbcd4850adc99b3cf0702128
BLAKE2b-256 3c574dd271784385a0692f7ee642634dd088bf9bf8a44dd0b95ac52a2ae54ea5

See more details on using hashes here.

File details

Details for the file AMCowmvg-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: AMCowmvg-1.0.7-py3-none-any.whl
  • Upload date:
  • Size: 7.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for AMCowmvg-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 0e2677f4e32a1a9986893a6d48502507c982655e3ab6dc3a95e5c87cfb3c5c97
MD5 05c19cd2b27c7015b499b29616dabfb9
BLAKE2b-256 15a60bbb39352dec032411b00f765cda3c5fd369e4aa225fa4773d73f4359366

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page