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DataSynthesizer vs SimpleTest

DataSynthesizer

github.com

SimpleTest

simpletest.ai

Side by side

FigureDataSynthesizerSimpleTest
Price fromFree$750/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
API—Yes
Self-hostedYesYes
Plans published13
Spec score · AI Synthetic Data Generators7.8 (#12)8.9 (#2)
SupportThe repository exposes GitHub Issues for project questions and reports.Starter includes community support, Professional includes email and chat support, and Enterprise includes priority support with an SLA and a dedicated account manager.

Plans

DataSynthesizer

  • DataSynthesizerFree

DataSynthesizer pricing →

SimpleTest

  • StarterFree
  • Professional$750 a month
  • EnterprisePriced on request

SimpleTest pricing →

In their own words

DataSynthesizer

DataSynthesizer generates synthetic data that imitates a supplied dataset while applying differential privacy techniques, according to the project. Its demonstrations cover random, independent-attribute, and correlated-attribute modes. The documented input must be a table in first normal form, and the project states that relational and unstructured data are outside its scope. Installation uses the Python command `pip install DataSynthesizer`. Users can run example notebooks with Jupyter Notebook or start the included Django project locally and open its web interface at `/synthesizer`. The project is MIT-licensed and offers GitHub Issues for questions and reports. It is intended to help data scientists work with owners of sensitive data. DataSynthesizer is free and open source, with self-hosted and web platforms listed. Its documented integrations are Python pip, Jupyter Notebook, and the companion Django interface. There is no free trial because the project lists only a free plan.

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SimpleTest

SimpleTest is a no-code testing platform for Salesforce that turns plain-English journeys into tests, runs them in CI, and can block releases when a path fails. Its AI translates requirements into executable tests without Apex or Selenium and generates synthetic Salesforce data that respects lookups while avoiding production PII. A Chrome extension records Salesforce workflows as self-healing tests and can export sessions to Playwright, Cypress, Selenium, and Puppeteer formats. Tests run concurrently across environments; the site advertises 1,000+ parallel runs. When interface changes affect a test, the maintenance engine can update selectors, verify the test, and open a pull request. Integrations include GitHub Actions, Jenkins, Azure DevOps, Jira, ModernOps, Gearset, and AutoRABIT; a REST API can trigger suites, check run status, and attach screenshots to Jira defects. Starter is free, with 50 parallel test runs and 500 execution minutes per month. Professional costs $750 a month billed annually, or $900 per month when billed monthly. Enterprise pricing is quoted for team size, usage, and Salesforce environment.

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