SynthCity

At a glance

• Editor score
  7.9 / 10
• Pricing
  Free plan
• Best for
  Researchers needing varied open generators
• Free plan
  Yes
• Paid from
  Free
• Privacy technique
  Both
• Facts checked
  22 Sep 2026

• Where it wins

  • Supports tabular, time-series, survival, and image data generation
  • Includes privacy, fairness, quality, utility, and privacy metrics
  • Plugin architecture supports generator extensions and model serialization

• Where it doesn't

  • Self-hosted deployment places infrastructure responsibility on the user
  • Python-library format may require development and machine-learning expertise
  • A broad plugin scope may be more than teams need for one modality

Our verdict on SynthCity

SynthCity is an open-source Python library for generating and evaluating synthetic data. It is aimed at researchers, developers, and machine-learning teams building or assessing synthetic-data workflows. The library covers tabular datasets, time series, survival-analysis data, and images, giving teams one framework for working across several data modalities. It can be installed locally with pip and is designed for self-hosted deployment.

Its standout strength is the combination of generation and evaluation. A plugin-based architecture supports generative modeling, privacy, fairness, and domain adaptation, while the library includes metrics for data quality, utility, and privacy. Privacy-focused generators include differential-privacy methods, and fairness-oriented generation is also part of the feature set. Synthetic-model serialization and loading add a practical way to preserve and reuse trained synthetic-data models within a development workflow. Researchers comparing approaches across modalities will find the breadth particularly useful.

SynthCity is a strong fit for teams that want an open-source, self-hosted component with API access and room to evaluate trade-offs among quality, utility, privacy, and fairness. Its library format favors users who can work within a Python and machine-learning development environment. Teams looking for a managed hosted service, a ready-made user interface, or a narrowly focused generator should choose a product built around those priorities instead. SynthCity is most compelling when experimentation, extensibility, and transparent evaluation matter more than turnkey operations.

Your product? Our editors can test SynthCity in depth and publish a review, labelled as paid · from $149/mo →

SynthCity pricing

SynthCity fact sheet

Alternatives to SynthCity

• NeMo Data DesignerA broad open-source toolkit for developers creating multimodal synthetic datasets.9.3
• SAS Data MakerA mature low-code platform for generating, evaluating and augmenting synthetic data.9.1
• NONVIDIA OmniverseA free, programmable toolkit for visual and sensor-data generation pipelines.9.0

See all SynthCity alternatives →

Featured on iTechGuides

SynthCity is listed in our Synthetic Data Generation Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/synthcity/"><img src="https://www.itechguides.com/best/badge/synthcity.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update