Quickstart
Step by step
To authenticate to Shimoku API you need a Bearer Token that will be provided by your Sales Representative. If you still do not have it you can email to [email protected] or [email protected].
To use Shimoku’s API first install our SDK library
You can clone it from:
or see it from github at:
And in your
Python +3.6 install itpip install shimoku-api-python
Once you have your token authentication is as easy as follows:
from os import getenv
import shimoku_api_python as Shimoku
access_token = getenv('SHIMOKU_TOKEN') # env var with your token
universe_id: str = getenv('UNIVERSE_ID') # your universe UUID
shimoku = Shimoku.Client(
config={'access_token': access_token},
universe_id=universe_id,
)
And your
Shimoku instance is ready to interact with the API and build new Analytics Progressive Web AppWhat in Plotly would be equivalent to
import plotly.express as px
long_df = px.data.medals_logn() fig = px.bar(long_df, x="nation", y="count", color="medal", title="Long-Form Input")
pyfig.show()
In Shimoku much more is done with the same code
🪄
from os import getenv
import shimoku_api_python as Shimoku
access_token = getenv('SHIMOKU_TOKEN')
universe_id: str = getenv('UNIVERSE_ID')
business_id: str = getenv('BUSINESS_ID')
shimoku = Shimoku.Client(
config={'access_token': access_token},
universe_id=universe_id,
)
shimoku.plt.set_business(business_id)
report: Dict = shimoku.plt.bar(
df, x='date', y=['billing'],
menu_path='catalog/bar-example',
order=0,
)
With the following critical differences:
- Shimoku creates a PWA in the internet with all the Access Control, Menu and React components.
- Shimoku takes care of all the Back-End, Front-End and DevOps of your Data App and you just focus in use your data to create analytics as in Plotly but creating a DataApp directly!
With an unlimited number of users
Last modified 2mo ago