Skip to main content

Package to install SDV Enterprise packages.

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sdv_installer-0.2.0.tar.gz (23.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sdv_installer-0.2.0-py3-none-any.whl (25.9 kB view details)

Uploaded Python 3

File details

Details for the file sdv_installer-0.2.0.tar.gz.

File metadata

  • Download URL: sdv_installer-0.2.0.tar.gz
  • Upload date:
  • Size: 23.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for sdv_installer-0.2.0.tar.gz
Algorithm Hash digest
SHA256 a928e75d00f33c03c502a87c1764fc871d03b8c841390746e7ec9598f1678ad2
MD5 e02cb824daf0214a875d100b58f786d6
BLAKE2b-256 cd8b1f35cc27e2ab0e448e04699d008a121e25d308a670d05bc352aea89fa7d8

See more details on using hashes here.

Provenance

The following attestation bundles were made for sdv_installer-0.2.0.tar.gz:

Publisher: release.yml on datacebo/sdv-installer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file sdv_installer-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: sdv_installer-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 25.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for sdv_installer-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c74959ffcbe7705377069f1e2ee974c548a76e8f7c09b38a3befb4632994051b
MD5 066ee2d8a7c0fe6af0641ace127f0879
BLAKE2b-256 4e6a463b21affb18e84ce15884009c049f4b9c4c97c574e2fdbafbec69a74250

See more details on using hashes here.

Provenance

The following attestation bundles were made for sdv_installer-0.2.0-py3-none-any.whl:

Publisher: release.yml on datacebo/sdv-installer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page