Website • Documentation • SDV Community • Hub • YouTube
Building the foundation for enterprise synthetic data.
DataCebo develops open-source and enterprise software that enables organizations to generate realistic synthetic data, build generative models from complex relational databases, and accelerate AI development while protecting sensitive information.
The leading open-source library for synthetic data generation.
- Learn synthetic data generation
- Generate realistic tabular and relational synthetic data
- Integrate into Python workflows
➡️ https://github.com/sdv-dev/SDV
Enterprise software for learning Generative Relational Models (GRMs) directly from enterprise databases.
Features include:
- Enterprise-scale relational modeling
- Automated metadata discovery
- Synthetic data generation
- AI model training datasets
- Data sharing
- Demo data generation
- Performance testing
- On-premises and air-gapped deployment
| Project | Description |
|---|---|
| SDV | Synthetic Data Vault for generating realistic synthetic data |
| RDT | Reversible Data Transforms for preprocessing structured data |
| SDMetrics | Metrics for evaluating synthetic data quality and privacy |
| Copulas | Statistical copula models for synthetic data generation |
| SDGym | Benchmarking framework for synthetic data generators |
Learn how to use SDV Community and SDV Enterprise.
- User Guides
- Tutorials
- Solution Guides
- API Reference
- Best Practices
Educational resources on synthetic data, enterprise AI, and tabular foundation models.
- Video tutorials
- Podcasts
- Technical guides
- Solution walkthroughs
Our work focuses on:
- Synthetic Data
- Enterprise AI
- Tabular AI
- Privacy-Preserving Machine Learning
- Foundation Models for Structured Data
- Website: https://www.datacebo.com
- Hub: https://hub.datacebo.com/
- Blog: https://www.datacebo.com/blog
- LinkedIn: https://www.linkedin.com/company/datacebo
- YouTube: https://www.youtube.com/@DataCebo
We welcome:
- Bug reports
- Feature requests
- Documentation improvements
- Research collaborations
- Contributions to our open-source projects
If you're interested in synthetic data or enterprise AI, we'd love to hear from you.