Welcome to GorillaML’s documentation!

This is the analytical tools which allow individual, organization, developer, publisher to present, manage, publish their architectural design, machine learning api, custom form builder for input data capturing, live code editor and many more active development very easily.

Installation

pip install gorillaml

DB Initialization

After installation to initialized the application database we have to run below command in console.

gorillaml-canvas init-db

Note

If facing any issue due to already existing db drop it from /installed_location/Anaconda3/var/ and then try above command.

Warning

Dont ignore or forget to run this command or else application stop working properly.

Start Application in Desktop

If it is installed on personal desktop based environment then to start GorillaML server, run below command in terminal..

gorillaml-canvas gui

Start Application Server in private cloud

To start GorillaML server run below command in terminal

gorillaml-canvas start-forever

It will expose the application in http://localhost:5000

Application Login

Default username and password of the application is admin and admin. After successfull login change your default password as per your convenient time.

Plugin Development

GorillaML is created on top of Flask framework and this plugins are created based on Flask blueprint framework. You have full controll to play with gorillaml plugins using Flask blueprint for more details start reading https://flask.palletsprojects.com/en/1.1.x/blueprints/

You will found sample plugins here https://github.com/washim/GorillaML_Plugins

Warning

Plugin name and blueprint name should be same inside plugin.py. This plugin.py and __init__.py is the mandatory to create gorillaml plugins. Dont change gorillaml variable inside plugin.py

DB Update

This is recommended to execute below command always after installing new release.

gorillaml-canvas db-update