Rasgo Feature Store

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

Sign Up for Free

Feature Engineering
just got 10X faster.

The Rasgo Feature Store

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.

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.

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

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

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

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.

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.

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

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

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

SERVE

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

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

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

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

SERVE

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

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

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

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

Integrate

Cloud Data Warehouse

DATA SCIENCE Platforms

BI Tools

Ready to engineer features 10X faster?

Sign Up for Free

Feature Engineering just got 10X faster.

The Rasgo Feature Store

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.

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.

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

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

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

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.

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.

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

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

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

Share

Search, filter, and explore features in Rasgo’s feature store repository to standardize and reuse features created by you or your colleagues.

Work collaboratively with your colleagues to create feature collections or duplicate existing feature collections to customize for your model.

Standardize on features throughout your organization by sharing features and feature collections across models and with your colleagues.

Tag features to make them easier for you and your colleagues to discover and reuse.

Automatically version all features through our native git integration.

Automatically track all feature engineering activities within your experiment cycle.

Share

Search, filter, and explore features in Rasgo’s feature store repository to standardize and reuse features created by you or your colleagues.

Work collaboratively with your colleagues to create feature collections or duplicate existing feature collections to customize for your model.

Standardize on features throughout your organization by sharing features and feature collections across models and with your colleagues.

Tag features to make them easier for you and your colleagues to discover and reuse.

Automatically version all features through our native git integration.

Automatically track all feature engineering activities within your experiment cycle.

SERVE

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

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

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

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

SERVE

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

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

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

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

Integrate

Cloud Data Warehouse

DATA SCIENCE Platforms

BI Tools

Ready to engineer features 10X faster?

Feature Engineering
just got 10X faster.