Skip to main content

A package for synthetic data generation, evaluation and optimisation.

Project description

SynthOpt

SynthOpt is a Python package for creating different levels of synthetic data and optimising the privacy/utility trade-off for different requirements. Requires python version 3.8.x, 3.9.x or 3.10.x.

There are three aspects to SythOpt:

Generation

Generate different levels of fidelity of synthetic data. You can create synthetic data either from metadata or from datasets (both single-table and multi-table). Different synthesiser models are available to choose from, including differentially private synthesisers.

Evaluation

Evaluate privacy, utility and quality of synthetic data using our metrics, as well as create visualisations and reports.

Optimisation

Optimise the privacy/utility trade-off depending on your requirements - generate highly private synthetic data, highly useful synthetic data, or find the right balance in between.


Documentation

Here is a link to the documentation for this package: SynthOpt Documentation

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

SynthOpt-0.1.39.tar.gz (24.5 kB view details)

Uploaded Source

Built Distribution

SynthOpt-0.1.39-py3-none-any.whl (28.4 kB view details)

Uploaded Python 3

File details

Details for the file SynthOpt-0.1.39.tar.gz.

File metadata

  • Download URL: SynthOpt-0.1.39.tar.gz
  • Upload date:
  • Size: 24.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SynthOpt-0.1.39.tar.gz
Algorithm Hash digest
SHA256 4e200ea30d64fc2b898d16651c9a7e35e1a0831242fa20a750965f5f8689cf7a
MD5 fd6de8032bdecedcb70a5cd78bed4e93
BLAKE2b-256 df36b798f5604cb2c04c6da9f8dfad935cc62858240219c30001c7d66aadc310

See more details on using hashes here.

Provenance

The following attestation bundles were made for SynthOpt-0.1.39.tar.gz:

Publisher: python-publish.yml on LewisHotchkissDPUK/SynthOpt

Attestations:

File details

Details for the file SynthOpt-0.1.39-py3-none-any.whl.

File metadata

  • Download URL: SynthOpt-0.1.39-py3-none-any.whl
  • Upload date:
  • Size: 28.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SynthOpt-0.1.39-py3-none-any.whl
Algorithm Hash digest
SHA256 881f6ec5251adda33f2d358675dcbfcf312ef55749afe3b619d4d0182a854291
MD5 67ff18c622b919b2a6d46d5bc914ef17
BLAKE2b-256 1603ef272e1879951c05f5e81ccc699d71c9c5f475af950148ce3e512319ab47

See more details on using hashes here.

Provenance

The following attestation bundles were made for SynthOpt-0.1.39-py3-none-any.whl:

Publisher: python-publish.yml on LewisHotchkissDPUK/SynthOpt

Attestations:

Supported by

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