These tools aim to provide a reproducible and consistent data visualisation platform where experimental and computational researchers can use big data and statistical analysis to explore their data or the adsorption related data we provide to find the best materials for specific applications.
heroku create git push heroku master heroku open
xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun
...run the following in your terminal:
pip install virtualenv
To run this app first clone repository and then open a terminal to the app folder.
git clone https://github.com/aaml-analytics/mof-explorer/ cd mof-explorer
Create and activate a new virtual environment (recommended) by running the following:
virtualenv venv \venv\scripts\activate
Or if using macOS or linux
python3 -m venv myvenv source myvenv/bin/activate
Install the requirements:
pip install -r requirements.txt
Run the app:
You can then run the app on your browser at http://127.0.0.1:5000/
When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change. You can also contact the AAML research group to discuss further contributions and collaborations. Please read CONTRIBUTING.md for details on our code of conduct.
Rocio Bueno Perez,
David Fairen Jimenez
Department of Chemical Engineering and Biotechnology
Philippa Fawcett Dr
This project is licensed under the MIT License - see the LICENSE.md file for details