This framework is an implementation of the Flask Login with Neo4j graph database using the py2neo library.
Implementing Flask Login with Neo4j.
To get started quickly use Pipenv:
$ git clone git@github.com:taiwotman/flasklogin_neo4j.git
$ cd flasklogin-neo4j
$ pipenv shell
$ pipenv update
$ pip install -r requirements.txt
$ flask run
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Prior knowledge of Neo4j cypher queries and graph database.
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The Neo4j server is started and the database is stored in the Neo4j import directory.
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For test purpose, sentiment analytics dashboard is provided without the data. You will need to modify the source code to fit your usecase.
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Bokeh is used to create the sentiment analytics dashboard.
Birchard, T.(2019), “Using Flask-Login to Handle User Accounts”. Retrieved from https://hackersandslackers.com/flask-login-user-authentication, and GITHUB: https://github.com/toddbirchard/flasklogin-tutorial.
White, N.(2015), “Building a Python web application using Flask and Neo4j” OSCON, Portland, Oregon, Accessed at https://conferences.oreilly.com/oscon/open-source-2015/public/schedule/detail/42146.
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