fake: Randomly generated fake data

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QuickCheck generates completely random data for the purposes of test and catching corner cases. The fake package provides tools for generating data that looks plausibly real.

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Versions0.1, 0.1.1,,,,
Change logChangeLog.md
Dependenciesbase (>=4.6 && <4.13), containers (>=0.5 && <0.7), generics-sop (>=0.2 && <0.5), random (==1.1.*), text (==1.2.*), time (>=1.4 && <1.10) [details]
CopyrightDoug Beardsley, Formation Inc.
AuthorDoug Beardsley
Home pagehttps://github.com/mightybyte/fake
Bug trackerhttps://github.com/mightybyte/fake/issues
Source repositoryhead: git clone https://github.com/mightybyte/fake.git
Uploaded2019-05-03T17:46:12Z by DougBeardsley




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Fake is a Haskell package for generating realistic-looking fake data.


The package has three main components:

  1. Analogs to QuickCheck's Arbitrary and Gen that use realistic probability distributions rather than the more uniform distributions used by QuickCheck.
  2. A generic coverage function that generates full constructor coverage over a data type.
  3. A suite of providers for common types of data such as names, addresses, phone numbers, ID numbers, etc.

Fake's gcover function is particularly useful with the armor package for ensuring that all constructors of your data types are tested for backwards compatible serializations without having to write all the values yourself. This allows you to get higher confidence that you have covered most of the important cases without the combinatorial explosion of exhaustive testing.


Original inspiration came from the production needs of Formation (previously Takt).

Providers and other details were inspired by similar packages in Python and Ruby.