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  • SDV Enterprise, by DataCebo
  • SDV Enterprise
    • Getting Started
      • Part I: Setup
      • Part II: Single Table Synthetic Data
      • Part III: Synthetic Data for 2 Tables
      • Part IV: Synthetic Data for Multiple Tables
    • Technical Support
  • Installation
    • Technical Requirements
    • Installation Instructions
    • Troubleshooting
    • IT Security
  • Resources
    • Release Notes
    • When is the next release?
    • What's in the package?
    • Documentation
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  1. Resources

What's in the package?

Our software uses on the open source libraries listed below. When you download the SDV Enterprise package, these libraries are already included.

The following open source libraries are part of the SDV ecosystem, developed and maintained by DataCebo.

  • copulas

  • ctgan

  • deepecho

  • rdt

  • sdmetrics

  • sdv

The following libraries are directly used by the SDV for creating and evaluating synthetic data.

  • cloudpickle

  • Faker

  • graphviz

  • matplotlib

  • numpy

  • packaging

  • pandas

  • Pillow

  • plotly

  • psutil

  • PyYAML

  • scikit-learn

  • scipy

  • torch

  • torchvision

  • tqdm

Some of these may rely on other open source libraries. These dependencies are also included in the package.

PreviousWhen is the next release?

Last updated 12 months ago