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Quickstart for Engineers

1.Installation​

  1. Install allye_data_connector.
pip install allye_data_connector
  1. Launch Allye.

You can download Allye from here.

2.Send a DataFrame to Allye Canvas:​

import pandas as pd
import seaborn as sns

import allye_data_connector
df = sns.load_dataset("iris")
allye_data_connector.send_dataframe(df, table_name='iris')

The Allye Data Receiver widget will be added to the canvas, and your data will automatically appear in Allye.

Python to Canvas

Note: Data transfer occurs locally, so please ensure that both Python and Allye are running on the same machine.

3.Canvas Workflows​

  1. Create Scatter Plot from left dock Visualize section and connect from Allye Data Receiver

Canvas Workflow Visualization

  1. Create Regression Analysis from left dock Statistical Analysis section and connect from Allye Data Receiver

Canvas Workflow Modeling

4. Read it back:​

  1. Use Allye's Allye Data Transmitter widget to send Allye data.

  2. Receive it on the Python side, and execute subsequent processing.

Python to Canvas