GoldenFlow is a data transformation toolkit designed to help data engineers and analysts standardize, reshape, and normalize messy data before it enters downstream pipelines. It supports various file formats (CSV, Excel, Parquet), cloud storage (S3, GCS), and live databases, offering both a zero-config mode for automatic cleaning and customizable configurations for complex data pipelines. GoldenFlow is available in Python and TypeScript, featuring CLI, programmatic, and streaming interfaces to handle large and complex workflows. It tracks all changes for auditability and supports schema mapping, scheduling, and real-time transformation via REST API or MCP server integration.
Visit GoldenFlow's official website for product details and getting started.
Comprehensive guides and API references for using GoldenFlow.
Explore practical examples of how to implement GoldenFlow in various scenarios.