Description
Featureform is an open-source feature engineering framework that transforms raw data into machine learning features through a declarative interface. The platform enables data scientists to define, manage, and serve features across training and production environments with consistent transformations and point-in-time correctness. By separating feature engineering from model development, Featureform creates reusable, version-controlled feature pipelines that accelerate ML development while ensuring reproducibility and operational reliability. The platform bridges the gap between data engineering and machine learning, facilitating collaboration across data teams.
Key Features
- Declarative feature definitions
- Version-controlled feature registry
- Consistent training and serving
- Python-native interface
- Open-source architecture
Use Cases
- Feature pipeline automation
- Reproducible ML features
- Cross-team feature sharing
- Operational ML systems
- Model velocity improvement
Pricing Model
Open-source core with enterprise support options
Integrations
Data processing frameworks, ML platforms, Data warehouses, Development environments, CI/CD systems
Target Audience
Data scientists, ML engineers, Data engineers, ML platform teams, Open-source contributors
Launch Date
2021
Available On
Cloud deployments, On-premises systems, Development environments
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