Metasyn

6.8easy start · #10 of 22
in Test Data Management Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Linux, Mac, self-hosted, Windows.

Metasyn is ranked #10 of 22 in test data management software on The Geeks Club. It runs on Linux, macOS, Self-hosted, Windows. There is a free plan.

Metasyn plans and pricing

All plans

Metasyn Free Open-source Python package · MIT license github.com · 4 Oct 2026

Compared on test data management software

Free plan: Yes
Synthetic data generation: Yes
Data masking: No
Data subsetting: No
Deployment model: self-hosted
API access: Yes

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The record

Purpose: Metasyn generates synthetic tabular data to help make sensitive datasets more accessible, reproducible, and reusable.
Workflow: Users fit a MetaFrame to a dataframe, save its model and settings as auditable JSON, and synthesize new rows.
Supported data: Metasyn handles multiple data types, missing values, categorical data, unique key columns, and structured strings such as postcodes or identifiers.
Privacy approach: By default, Metasyn excludes multivariate information from its model to reduce risks such as identity, attribute, or group disclosure.
Privacy plugin: The maker offers a disclosure-control plugin, while warning that synthetic output still needs human review and is not guaranteed to be free of sensitive information.
Integrations: Metasyn supports Polars and pandas dataframes and uses Faker to generate localized names, emails, phone numbers, and other data.
Extensibility: A plugin system lets users or organizations add extensions to adapt Metasyn to their needs.
Installation: The package can be installed with pip from PyPI or directly from GitHub for the development version.
Deployment: The project points users to versioned Docker containers and a command-line interface for building programs with Metasyn.
Exports: Generated dataframes can be exported to CSV, Parquet, Excel, and other formats.
Intended users: The documentation identifies public organizations, research groups, and individual researchers who own sensitive datasets as the intended audience.
Support: Users can report bugs or ask technical questions through GitHub issues and can contact Raoul Schram.
License: The software is distributed under the MIT License, which grants free use, modification, distribution, and sublicensing subject to its conditions.
Price from: Free

Where it ranks on The Geeks Club

Best Test Data Management Software in 2026#10 of 22

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Sources

github.com/sodascience/metasyn· checked 4 Oct 2026
github.com/sodascience/metasyn-disclosure-control· checked 4 Oct 2026
metasyn.readthedocs.io/en/latest/· checked 4 Oct 2026
github.com/sodascience/metasyn/blob/develop/LICENS· checked 4 Oct 2026