syda-ai / syda
AI-powered synthetic data generation — structured tables, unstructured documents, multi-provider LLM support, referential integrity, and code-gen mode for millions of rows
Why this job: says: synthetic data; topics: synthetic-data
What it does
SYDA seamlessly generates realistic synthetic test data—including structured, unstructured, PDF, and HTML—using AI and large language models. It preserves referential integrity, maintains privacy compliance, and accelerates development workflows. SYDA enables both highly regulated industries such as healthcare and banking, as well as non-regulated environments like software testing, research, and analytics, to safely simulate diverse data scenarios without exposing sensitive information.
Get started
pip install syda- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 178
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4.0
- Released 3 months ago
- Built with
- Python
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 33% closed
- 2 still open
- Pull requests
- 43 merged
- 1 waiting
- Releases
- 9
- 5 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 95%
- Shell 5%
- Dockerfile <1%
Topics
- anthropic
- codegen
- data-generation
- gemini
- grok
- llm
- openai
- pydantic-ai
- python
- referential-integrity
- synthetic-data
- unstructured-data
Project record
- JobFine-tuning
- StatusListed
- Commits262
- Forks79
- Watching1
- Stars in 28 days+1
- CreatedMay 11, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026