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Feature Engineering
just got 10X faster.

Get Rasgo in your Python environment with PyRasgo, our open source Python library, or get the full Rasgo experience in our powerful and beautifully designed UI.
Or mix and match, it's up to you!

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The Rasgo Feature Store

Rasgo’s Feature Store accelerates feature engineering by removing bottlenecks in data preparation, data transformation, feature selection, and more. Whether you like to work in your notebook, in our streamlined UI, or both, Rasgo’s Feature Store has you covered.

Rasgo Feature Store Overview Diagram
Rasgo Feature Store Overview Diagram
Rasgo Feature Store Overview Diagram
Rasgo Feature Store Overview Diagram

Transform

Feature Profiles

Generate intuitive and detailed feature profiles directly in your panda’s dataframe or in the Rasgo UI. Analyze key data statistics, data quality issues, data drift, and value distribution.

Feature transformation library

Leverage our exhaustive library of feature transformation functions to turn your raw data into useful features. Our library is available directly in your Python notebook or through our UI.

Feature joins

Rasgo makes it simple to join features across disparate tables to orchestrate a modeling ready dataset.

Feature IMPORTANCE

Prune and select features to reach a final set of modeling ready features for your model training or inference workflow.

Feature Insights

Visualize critical insights, such as feature importance, feature explainability, and feature correlation, before you spend time training your model.

Feature Profiles
Feature Importance

Transform

Feature Profiles

Generate intuitive and detailed feature profiles directly in your panda’s dataframe or in the Rasgo UI. Analyze key data statistics, data quality issues, data drift, and value distribution.

Feature Profiles
Feature transformation library

Leverage our exhaustive library of feature transformation functions to turn your raw data into useful features. Our library is available directly in your Python notebook or through our UI.

Feature joins

Rasgo makes it simple to join features across disparate tables to orchestrate a modeling ready dataset.

Feature IMPORTANCE

Prune and select features to reach a final set of modeling ready features for your model training or inference workflow.

Feature Importance
Feature Insights

Visualize critical insights, such as feature importance, feature explainability, and feature correlation, before you spend time training your model.

SERVE

Feature AutoJoin

Automatically search, orchestrate, and profile features that join with your target variable.

Feature DATA VALIDATION

Set feature validation thresholds and receive automatic notifications when data quality issues occur.

Feature OrchestrATION

Natively engineer production-ready features orchestrated at run-time on your cloud data warehouse.

Feature Data Drift

Automatically track data drift to understand how data is changing across time thresholds.

Feature AutoJoin Profile
Feature Data Drift

SERVE

Feature AutoJoin

Automatically search, orchestrate, and profile features that join with your target variable.

Feature AutoJoin Profile
Feature DATA VALIDATION

Set feature validation thresholds and receive automatic notifications when data quality issues occur.

Feature OrchestrATION

Natively engineer production-ready features orchestrated at run-time on your cloud data warehouse.

Feature Data Drift

Automatically track data drift to understand how data is changing across time thresholds.

Feature Data Drift

Integrate

Cloud Data Warehouse

Natively integrate with your cloud data warehouse - Rasgo only stores metadata and does not store or process any raw data

DATA SCIENCE Platforms

Automatically generate python and R code snippets to access your modeling-ready datasets in any python or R environment.

BI Tools

Easily enable live query to your transformed and joined dataset via common BI and visualization platforms

Ready to engineer features 10X faster?