synthdata-tutorial

What problem does it solve?

This interactive guide removes the guesswork from learning synthdata by walking users through an end-to-end workflow with real templates and sample datasets, enabling quick hands-on familiarity with generation, extraction, extension, anonymization, and serving.

Core Features & Use Cases

• Hands-on tour of synthdata's core skills: synthdata-generate, synthdata-extract, synthdata-extend, synthdata-anonymize, synthdata-serve, plus introductions to the prompt-builder and compute workflows.
• Demonstrates end-to-end data workflows: from template selection or YAML schema to producing outputs, extending data, safely anonymizing real data, and serving datasets via MCP for interactive querying.
• Suitable for onboarding new users, demonstrations, and quick-start experiments in prototyping synthetic data pipelines.

Quick Start

Initiate the hands-on synthdata tutorial in a scratch directory to explore templates, generate data, extract, extend, anonymize, and serve a dataset.