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-0.1.26.tar.gz (28.5 kB view details)

Uploaded Source

Built Distribution

SynthOpt-0.1.26-py3-none-any.whl (32.8 kB view details)

Uploaded Python 3

File details

Details for the file SynthOpt-0.1.26.tar.gz.

File metadata

  • Download URL: SynthOpt-0.1.26.tar.gz
  • Upload date:
  • Size: 28.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SynthOpt-0.1.26.tar.gz
Algorithm Hash digest
SHA256 2ab018b62f68904669be14d4224ad8618371a2939a37c612f2b575bf2be562db
MD5 5be4e221db5a13473c3359062185a867
BLAKE2b-256 ff89ab13a0e4ab3674d62061c85ae01ec36d432c663e8ab5d3f210d99a58843c

See more details on using hashes here.

Provenance

The following attestation bundles were made for SynthOpt-0.1.26.tar.gz:

Publisher: python-publish.yml on LewisHotchkissDPUK/SynthOpt

Attestations:

File details

Details for the file SynthOpt-0.1.26-py3-none-any.whl.

File metadata

  • Download URL: SynthOpt-0.1.26-py3-none-any.whl
  • Upload date:
  • Size: 32.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for SynthOpt-0.1.26-py3-none-any.whl
Algorithm Hash digest
SHA256 af1750bdc4bbe60637164338c077d404e67f67485fb489afc25b8d8605388f06
MD5 23a92e76363222d10e088beadfc2bb6c
BLAKE2b-256 9de8efa6c88ecde214f1703bce95dfb8de237ff760f85f2520fea51816bf770e

See more details on using hashes here.

Provenance

The following attestation bundles were made for SynthOpt-0.1.26-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