# ❖ XSynthesizers

Go the eXtra mile with your synthesis. Use enhanced synthesizers and transformers for **improved synthetic data quality and performance**.

## Included Features

This bundle includes versions of synthesizers and transformers that have been expanded with additional features.

**Enhanced synthesizers for higher quality synthetic data.** Use this to model your real data and create synthetic data.

* [**XGCSynthesizer**](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/xgcsynthesizer) is expanded version of the [GaussianCopulaSynthesizer](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/gaussiancopulasynthesizer) that includes modeling support for 100+ additional column shapes. Use this single-table synthesizer in combination with multi-table synthesizers such as [HSASynthesizer](https://docs.sdv.dev/sdv/multi-table-data/modeling/synthesizers/hsasynthesizer).
* [**SegmentSynthesizer**](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/segmentsynthesizer) is a specialty synthesizer that you can use for a table of highly segmented data.
* [**BootstrapSynthesizer**](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/bootstrapsynthesizer), designed specially to learn from data with only a few rows, or "short and wide" data containing more columns than rows/

**Enhanced transformers for more accurate data preprocessing.** Use these as a preprocessing step with any SDV synthesizer.

* [**XGaussianNormalizer**](https://docs.sdv.dev/rdt/transformers-glossary/numerical/xgaussiannormalizer) is an expanded version of the [GaussianNormalizer](https://docs.sdv.dev/rdt/transformers-glossary/numerical/gaussiannormalizer) transformer. This also includes modeling support for 100+ additional column shapes. Use this transformer with any of the SDV synthesizers.
* [**ECDFNormalizer**](https://docs.sdv.dev/rdt/transformers-glossary/numerical/ecdfnormalizer) provides another way to normalize your data by direct, empirical computation. With this transformer, there is no need to choose a predefined column shape. Use this transformer with any of the SDV synthesizers.

## Installation

Use your SDV Enterprise credentials to install SDV Enterprise and all bundles that you have access to.

```bash
% pip install sdv-installer --upgrade
% sdv-installer install --upgrade
```

```
Username: <email>
License Key: ********************************

Installing SDV Enterprise:
sdv-enterprise (version 0.30.0) - Installed!

Installing Bundles:
bundle-cag - Installed!
bundle-xsynthesizers - Installed!

Success! All packages have been installed. You are ready to use SDV Enterprise.
```

{% hint style="info" %}
For more information about installing SDV Enterprise features and bundles, see our [**Enterprise Installation Guide**](https://docs.sdv.dev/sdv-enterprise/sdv-enterprise/installation).
{% endhint %}