Lots of data analysis frameworks allow the publication of projects as flat HTML files.
DataTube lets you upload, version and present these to your users.
I'd always recommend running a python application inside a virtualenv: python3 -m venv venv && . venv/bin/activate.
First install the dependencies with pip install -r requirements.txt.
Then set the SQLALCHEMY_DATABASE_URI environment variable with something that sqlalchemy can handle.
Create tables in the database:
from app import db
db.create_all()
export SQLALCHEMY_DATABASE_URI="postgresql://<username:password>@<postgreshost>/<database-name>"
FLASK_DEBUG=1 FLASK_APP=app.py flask run
Can I test it? Yes you can!
The core API and behaviour is well covered by tests, with some of the view layer to boot.
To see for yourself run pytest.
Current build status show below:
The best way to contribute is to submit a feature request or bug. Even better if you then code up a fix and submit a pull request! :)
