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scale_AM: a scalability assessment tool

Quickstart guide

Go to the online web tool hosted on heroku.

Raw data

Download example data sets shown below

File name Number of parameters Number of variables
himmelblau.csv 2 1
trs_data.csv 3 4

Choose appropriate settings

Choose x-axis, y-axis, and z-axis for the projection and hit plot projection and example for the trs_data.csv dataset is shown below:

Development guide

MacOS/Linux

Clone the repo

git clone https://github.com/khbalhandawi/scale_AM_webapp.git
cd scale_AM_webapp

Create a virtual environment to develop this library

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Execute the shell file run_app.sh

source run_app.sh

Navigate to your localhost in a browser at port 5000 http://127.0.0.1:5000/

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A front-end for the scalability library scale_AM

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