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-0.1.36.tar.gz (23.6 kB view details)

Uploaded Source

Built Distribution

SynthOpt-0.1.36-py3-none-any.whl (27.5 kB view details)

Uploaded Python 3

File details

Details for the file SynthOpt-0.1.36.tar.gz.

File metadata

  • Download URL: SynthOpt-0.1.36.tar.gz
  • Upload date:
  • Size: 23.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SynthOpt-0.1.36.tar.gz
Algorithm Hash digest
SHA256 aae82a97413ab1620f683edad6fca6a60cac61e61a4abd05721f49a8da5857da
MD5 c7c0ada4fe296cbfab15b155341d7df2
BLAKE2b-256 03dd1979c6cdf011b009ae6a8316ede2df79fe608711fac08cd4fec633243480

See more details on using hashes here.

Provenance

The following attestation bundles were made for SynthOpt-0.1.36.tar.gz:

Publisher: python-publish.yml on LewisHotchkissDPUK/SynthOpt

Attestations:

File details

Details for the file SynthOpt-0.1.36-py3-none-any.whl.

File metadata

  • Download URL: SynthOpt-0.1.36-py3-none-any.whl
  • Upload date:
  • Size: 27.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SynthOpt-0.1.36-py3-none-any.whl
Algorithm Hash digest
SHA256 d5c845556cad7d3ff4f6bc2c658d30c626202fa6aa93a600cdcc1267ce19fc43
MD5 834a8bfaa2148046b92dea8c4f7be408
BLAKE2b-256 7fec4513224daf65b2a84b4896dd0135a9f6d9e66a9dc4a521e39ce351998d07

See more details on using hashes here.

Provenance

The following attestation bundles were made for SynthOpt-0.1.36-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