Allye - Tutorials

Explore the powerful, AI-driven features that make Allye the most intuitive and comprehensive analytics platform on the market.

Drag files, connect to your databases and Google Sheets, and pull any data directly into your Python notebook

Bigquery, Redshift, MySQL, Postgresql, SQL server

Google sheet, csv, xlsx, tsv and others

Handle routine prep with no-code nodes, and tackle any custom logic with AI-generated Python.

Filter, Extract, Aggregations, Merge, Sampling, Impute, Preprocess pipeline nodes for frequent ETL tasks

Bar plot, Box plot, Histogram, Scatter plot, Time series and lots other visualization nodes

Seamlessly connected Python jupyter notebook for custom logic / visualization

Bar plot

Line Plot

Pivot Table

Preprocess pipeline

AI generated Custom Python Codes & Visualizations

Explore the documentations to see many other useful nodes

From Advanced Stats to Machine learning and Causal Inference Analysis , Allye supports various analytics

Our dedicated regression/classification widgets provide a complete interactive modeling environment.

Generated python code with Notebook visualization

Regression Analysis

Binary classification Analysis

Time Series Forecast

Difference in Difference

Propensity Score Matching

Machine Learning
Cross Validations

Various Clustering

many others!

Node Builder - Automatic workflow generation and loops on errors

Understand Data Columns and Variable Types

Node & Python generation and Execution

Loop on Errors

AI Reporting and Chat

Help interpret statistical results

Ask node usage and detail specs