spartaqube 0.1.4

SpartaQube is a plug and play solution to visualize your data and build web components

SpartaQube

SpartaQube is a plug and play solution to visualize your data and build web components

Use SpartaQube to

1. Access your data through already built-in connectors
2. Apply transformations to your data using our custom embedded Python notebook
3. Create charts and web components by dragging & dropping your transformed data

The rich user interface makes it easy to visualize and retrieve all your components

You can expose and share them with a simple html snippet code

Installation

PIP INSTALL

Install the package via pip with code below:

pip install spartaqube

To Upgrade:

pip install --upgrade spartaqube

DOCKER INSTALL

Install the application via docker with the code below:

docker run -p 8665:8000 spartaquant/spartaqube

You can change the listening port 8665 to any available port you want

Then the application runs locally and is accessible in your browser at http://localhost:8665

Get more information regarding the docker application at: https://hub.docker.com/r/spartaqube/spartaqube

Jupyter Notebook Integration

SpartaQube can be embedded within your usual Jupyter notebooks

Interact with your data with drag & drop and build your web components in few clicks

1. Import library

from api.spartaqube import Spartaqube as Spartaqube
spartaqube_obj = Spartaqube()

2. List available components

spartaqube_obj.get_library()

3. Get a specific SpartaQube widget

spartaqube_obj.get_widget("<widget_id>")

4. Create a new component using your notebook variables

spartaqube_obj.new_plot([variable1, variable2 etc...])

Check out the documentation of the API at https://spartaqube.com/api for more information