This package is part of The Synthetic Data Vault Project, a project from DataCebo.
Overview
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. You can get started with the publicly-available SDV Community for exploring the benefits of synthetic data. When you're ready to take synthetic data to the next level, upgrade to SDV Enterprise and purchase Bundles to access additional features.
This package provides a CLI for SDV Enterprise customers to easily access and manage all SDV-related software. It allows you to:
- Input your SDV username and license key
- List out all the SDV-related packages that you have access to
- Download and install those packages
% sdv-installer install
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.
How it works
The SDV Installer is a convenience wrapper around pip, the package installer for Python. Under-the-hood, SDV Installer takes your input, determines which package you can access, and calls pip to install those packages with the appropriate flags and options.
To see the exact pip commands, use the --debug flag:
% sdv-installer install --debug
Username: <email>
License Key: ********************************
Installing SDV Enterprise:
pip install sdv-enterprise==0.30.0 --index-url <URL>@pypi.datacebo.com/ --trusted-host pypi.org --trusted-host pypi.python.org --trusted-host files.pythonhosted.org --trusted-host pypi.datacebo.com
Installing Bundles:
...
Success! All packages have been installed. You are ready to use SDV Enterprise.
Get the SDV Installer
Get the latest version of the SDV Installer.
pip install sdv-installer --upgrade
SDV Installer is set up to access and manage all SDV-related packages – SDV Enterprise, as well as Bundles. You can manage installation for a variety of scenarios, including offline installation, partial installation, upgrading, and more.
For more details about installing SDV Enterprise, please see our Installation Guide.
Metadata
Release files for sdv-installer 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sdv_installer-0.4.1.tar.gz | 24.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sdv_installer-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.6 kB
Release files / sdv_installer-0.4.1.tar.gz
| Download URL | sdv_installer-0.4.1.tar.gz |
|---|---|
| Size | 24.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0e8cc8dae39464ea57f244490978d1bbd879ef081b1db5b880fbd281d355e303
|
|
BLAKE2b-256 checksum How to use checksums |
43c1c783bec755c14dcbb8c0355933ec1eb88038145a3217ab0dc83fb8c0f6ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 5, 2026.
Transparency logRelease files / sdv_installer-0.4.1-py3-none-any.whl
| Download URL | sdv_installer-0.4.1-py3-none-any.whl |
|---|---|
| Size | 27.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8ff03909797bdba27bb3628504f8feee5eff0669e25356434eb1fa417948c6d5
|
|
BLAKE2b-256 checksum How to use checksums |
9ddd8b63ac857881dd3a69657c255788e398f41dcec3ccbe16074bc0c8014517
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 5, 2026.
Transparency log