pyfake
pyfake is an open-source command-line tool that generates synthetic data compatible with pydantic models. It is useful for Python developers and testers who need realistic fake data for testing, validation, or development purposes.
Overview
3 featuresIn the CLI tools & terminal space, pyfake takes a focused approach. It focuses on generating realistic fake data for testing and validation of pydantic-based applications. pyfake is an open-source project aimed at python developers and testers. pyfake is open source under the MIT license. pyfake is available on the web and the command line.
Mukhopadhyay builds and maintains pyfake, and it first shipped in 2025. The project is developed in the open on GitHub with 61 commits in the last 90 days. Among its 3 catalogued features are synthetic data generation, pydantic compatibility, and timeseries support.
Summary written by a language model from the project’s public pages.
- Synthetic data generation
- Pydantic compatibility
- Timeseries support
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about pyfake
- What is pyfake?
- Pyfake focuses on generating realistic fake data for testing and validation of pydantic-based applications. It is catalogued under CLI tools & terminal on PulseGate.
- Who is pyfake for?
- pyfake is an open-source project built for python developers and testers.
- Does pyfake have a free plan?
- Yes — pyfake is open source under the MIT license and free to use.
- What platforms does pyfake run on?
- pyfake runs on the web and the command line.
- Is pyfake still active?
- The GitHub repository shows 61 commits in the last 90 days.
- Who develops pyfake?
- pyfake is developed by Mukhopadhyay.
- When did pyfake launch?
- pyfake first shipped in 2025.
- Is pyfake open source?
- Yes — pyfake is open source under the MIT license, developed on GitHub.
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