Syda is an open-source Python library that enables developers and testers to generate realistic synthetic test data, both structured and unstructured, using AI models from multiple providers. It supports privacy compliance, referential integrity, and integrates with various databases. The tool is designed to accelerate development workflows and ensure data privacy in testing environments.
In the AI & ML space, Syda takes a focused approach. It focuses on generating realistic, privacy-compliant synthetic test data for development and testing workflows. It is built as an open-source project for software developers and testers. Syda is open source under the MIT license. It runs on the web, the command line, and API, and it can be self-hosted.
syda-ai builds and maintains Syda, and the product first shipped in 2025. Development happens publicly on GitHub with 98 stars and 69 commits in the last 90 days. Key capabilities include synthetic data generation, referential integrity, and privacy compliance.
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