CheckOps
Synthea
Synthea is an Apache-2.0 synthetic patient population simulator that generates realistic but not real patient records in HL7 FHIR, C-CDA, CSV and other formats for healthcare software testing.
Latest public signals
Not refreshed yet. Refresh reads the public site and, when the entry has a GitHub repository, the latest release.
Introduction
Synthea is a synthetic patient population simulator. Its goal is to output synthetic, realistic (but not real) patient data and associated health records in a variety of formats, according to its README.
Features include birth-to-death lifecycle simulation, configuration-based statistics and demographics (defaulting to Massachusetts census data), a modular rule system with drop-in modules and custom Java modules, primary care, emergency and symptom-driven encounters, and conditions, allergies, medications, vaccinations, observations, labs, procedures and care plans. Output formats include HL7 FHIR R4, STU3 and DSTU2, Bulk FHIR ndjson, C-CDA and CSV.
The repository had commits in October 2026.
In the quality loop it supports integration and interoperability testing for healthcare systems.
The source code is at synthetichealth/synthea on GitHub under the Apache-2.0 licence, with about 3,500 stars; the most recent commit was on 21 October 2026.
Features
- Lifecycle simulation: Birth to death.
- Clinical modules: Conditions, medications, labs and more.
- FHIR output: R4, STU3, DSTU2 and Bulk FHIR.
- C-CDA and CSV: Other formats.
- Configurable demographics: Census-based defaults.
Pros
- Domain realism: Clinically structured records.
- Free to use: Open source under the Apache-2.0 licence, so the core tool costs nothing to use.
- Actively maintained: The repository had commits as recent as 21 October 2026.
- Community: About 3,500 GitHub stars.
Cons
- Healthcare-specific: Not general purpose.
- Java runtime: Needs a JDK.
Usage and Links (Example)
git clone https://github.com/synthetichealth/synthea.git && cd synthea
./run_synthea -p 100
Resources:
Pricing
Synthea is free and open source under the Apache-2.0 licence.
Recommended for?
- Healthcare software teams needing FHIR test data.
- Not a fit outside healthcare.
Conclusion
Synthea is the standard open-source source of synthetic patient data.
On CheckOps, Synthea is filed under the Integration testing stage. Related tools listed here include Synthetic Data Vault (SDV), MOSTLY AI, Faker (Python), Datafaker, Mockaroo and Tonic Structural. Before choosing, compare them on licence, supported languages and platforms, hosting model, and how well each fits your existing CI pipeline. Facts on this page were checked against the official website, documentation and repository on 11 November 2026; statements the vendor makes about its own product are marked as vendor claims.
Compare
CheckOps pages that put Synthea next to related tools. There is no paid placement on these lists.
Roundups
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Synthea side by side.
SSynthetic Data Vault (SDV)The Synthetic Data Vault (SDV) is a Python library from DataCebo that learns patterns from real tabular data with machine learning and generates synthetic data, with evaluation reports; it is source-available under the Business Source License.Compare with Synthea
MMOSTLY AIMOSTLY AI offers an Apache-2.0 open-source Synthetic Data SDK for training generators on tabular or language data and creating privacy-safe synthetic datasets locally, plus a commercial synthetic data platform.Compare with Synthea
FFaker (Python)Faker is an MIT-licensed Python package that generates fake but realistic data such as names, addresses, text, dates and identifiers, with dozens of locales, a pytest fixture and seeding for reproducible test data.Compare with Synthea
DDatafakerDatafaker is an Apache-2.0 fake data library for the JVM (Java, Kotlin, Groovy), a modern fork of Java Faker with updated dependencies, many more providers and schema-based generation to CSV, JSON, SQL and more.Compare with Synthea
MMockarooMockaroo is a commercial web service for generating realistic test data in CSV, JSON, SQL and Excel formats, with schemas, mock APIs, datasets and a Docker image for private deployment; up to 1,000 rows are free.Compare with Synthea
TTonic StructuralTonic Structural is a commercial test data management product from Tonic.ai that de-identifies, subsets and synthesizes structured and semi-structured data from production into safe, production-like test data.Compare with Synthea