YData SDK is a Python toolkit for data profiling, data improvement, and synthetic data generation. It produces automated profiles and comparison reports to help assess data quality and spot issues or drift. It can generate tabular, time-series, relational, text, question-and-answer, and document data. The documentation describes PII detection and anonymization, as well as checks of synthetic data quality, utility, and privacy. Connectors include local files, cloud storage, databases, and Databricks; named LLM backends include Workbench, OpenAI, Anthropic, and Gemini. The SDK supports Python 3.10 and above on Windows, Linux, and macOS. YData says its platform can run on customer cloud or on-premises infrastructure, avoiding data transfer between customer and YData. The free plan lists all features and 20+ connectors. Pay-as-you-go pricing is $1.00 per credit; each credit covers 1 million data points or 10,000 tokens, with a 0.1-credit minimum transaction. Some features require native libraries before installation.
Who it is for
YData describes the SDK for data science, data engineering, analytics, and AI development teams working with Python. It may suit teams needing profiling or synthetic data across several data types.
What is good
- Generates profiles and data quality comparison reports.
- Supports several synthetic data types, including relational data.
- Offers PII detection and anonymization.
- Free plan lists all features and 20+ connectors.
What to know first
- Requires Python 3.10 or above.
- Some features require native libraries installed beforehand.
- Pay-as-you-go has a 0.1-credit minimum transaction.
Verdict
YData SDK combines data profiling, synthetic data generation, and privacy-related functions for Python workflows. Check connector needs and native-library prerequisites before adopting it.
YData SDK plans and pricing
All plansCompared on synthetic data generation software
- Free plan
- Yes
- Data modalities
- tabular, time-series, relational databases, text corpus, documents, question-and-answer pairs
- Privacy technique
- both
- API access
- Yes
- Output formats
- PDF, DOCX, HTML
