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DataCebo

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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.


🚀 Get Started

SDV Community

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


SDV Enterprise

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

➡️ https://www.datacebo.com


📚 Open Source Libraries

ProjectDescription
SDVSynthetic Data Vault for generating realistic synthetic data
RDTReversible Data Transforms for preprocessing structured data
SDMetricsMetrics for evaluating synthetic data quality and privacy
CopulasStatistical copula models for synthetic data generation
SDGymBenchmarking framework for synthetic data generators

📖 Documentation

Learn how to use SDV Community and SDV Enterprise.

  • User Guides
  • Tutorials
  • Solution Guides
  • API Reference
  • Best Practices

📚 https://guides.datacebo.com


🎓 DataCebo Academy

Educational resources on synthetic data, enterprise AI, and tabular foundation models.

  • Video tutorials
  • Podcasts
  • Technical guides
  • Solution walkthroughs

▶️https://www.youtube.com/@DataCebo


🔬 Research

Our work focuses on:

  • Synthetic Data
  • Enterprise AI
  • Tabular AI
  • Privacy-Preserving Machine Learning
  • Foundation Models for Structured Data

🌐 Learn More


🤝 Community

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.


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