Physarum provides a unified platform for feature engineering, including a collaborative interface for data scientists and powerful data infrastructure to compute and serve features in production environments.
Ingests historical data from data warehouses and data lakes.Consumes messages from streaming data sources, like Apache Kafka and Amazon Kinesis.Transforms event-based data into a usable format for aggregations and other feature calculations.
Create features using a simple, interactive interface.Write feature calculations using data from connected sources.Visualize feature distributions automatically and drill into outliers.Scale, transform, and encode features with a few clicks
View all features for a specific model in one central location.Understand how features are computed and share features across teams.Choose features to export for training and to promote to production
A single platform for feature creation and feature serving.
Ingests historical data from data warehouses and data lakes
Call the feature store API to receive real-time feature vectors.
Understand how features are computed and share features across teams
Test and monitor feature performance over time from Physarum Engine.
Update the feature versions used in production in minutes
Scale, transform, and encode features with a few clicks