Synthea
Synthea: A focused, self-hosted generator for lifelike synthetic healthcare data and standards-based exports. Ranked #14 of 28 in Test Data Generation Tools by our editors (7.3/10); pricing: Free plan; best for synthetic healthcare patient populations.
At a glance
- Editor score7.3 / 10
- PricingFree plan
- Best forSynthetic healthcare patient populations
- Free planYes
- Paid fromFree
- Generation modesSynthetic
- Facts checked20 Sep 2026
Where it wins
- Models patient lifecycles from birth to death
- Exports FHIR, Bulk FHIR NDJSON, C-CDA, CSV, and CPCDS
- Supports configurable demographics, diseases, encounters, and care rules
Where it doesn't
- Focused primarily on healthcare use cases
- Requires local, self-hosted deployment
- Command-line operation may require technical setup
Our verdict on Synthea
Synthea is an open-source simulator for generating synthetic patient populations and associated health records. Maintained by The MITRE Corporation, it is designed for healthcare research, software development, policy analysis, and testing. Its core model follows patients through lifecycles from birth to death, combining configurable demographics with modular disease and care rules. Primary care, emergency, and symptom-driven encounters are supported, giving healthcare teams a structured way to create population-level records without using real patient data.
The standout strength is domain depth rather than broad test-data coverage. Synthea can represent disease progression, care events, and patient statistics, while Graphviz rendering helps visualize rules and disease modules. Its export options support HL7 FHIR R4, STU3, and DSTU2, along with Bulk FHIR NDJSON, C-CDA, CSV, and CPCDS. That combination makes it suitable for teams validating healthcare workflows, building interoperability features, creating research datasets, or exercising systems that depend on longitudinal patient histories.
Synthea runs locally from source or a built distribution and is controlled through command-line options and configuration files. Population size, geography, seed, and demographic controls can be adjusted for repeatable generation. This self-hosted, open-source model suits organizations that want control over generation and export workflows, but it is less suitable for buyers seeking a hosted interface or a general-purpose generator for non-healthcare datasets. Choose Synthea for synthetic clinical populations and standards-based healthcare exports; consider an alternative when browser-based operation, broad business-domain templates, or a hosted service is the priority.
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Synthea pricing
Synthea fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Generation modes | Synthetic |
| Relational data | Yes |
| API data generation | Not verified |
| Supported data formats | HL7 FHIR R4; HL7 FHIR STU3; HL7 FHIR DSTU2; Bulk FHIR NDJSON; C-CDA; CSV; CPCDS |
| Deployment | Self-hosted |
| Generation limit | Not verified |
| Database connectors | Not verified |
| Deployment | Self-hosted |
| Support | Email, Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | synthetichealth.github.io |
| Facts checked | 20 Sep 2026 |
Alternatives to Synthea
- MOSTLY AIA broad synthetic-data platform for enterprise relational data teams.9.4
- SynthesizedA database-focused platform for schema-faithful synthetic data and protected test environments.9.2
- Tonic FabricateA flexible choice for AI-assisted relational test data with API and export workflows.9.0
See all Synthea alternatives →
Also Ranked In
Synthea is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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