perfect-vector-shuffle VS fakedata

Compare perfect-vector-shuffle vs fakedata and see what are their differences.

perfect-vector-shuffle

Library for performing shuffles on vectors (by Boarders)

fakedata

Haskell Library for producing quality fake data (by fakedata-haskell)
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perfect-vector-shuffle fakedata
- -
6 145
- -0.7%
3.1 1.8
7 months ago almost 2 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

perfect-vector-shuffle

Posts with mentions or reviews of perfect-vector-shuffle. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning perfect-vector-shuffle yet.
Tracking mentions began in Dec 2020.

fakedata

Posts with mentions or reviews of fakedata. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning fakedata yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing perfect-vector-shuffle and fakedata you can also consider the following projects:

Random123 - Haskell port of Random123 library

fakedata-quickcheck - Fake a -> Gen a

vector-shuffling

fused-effects-random - Random number generation for fused-effects.

rand-vars - Random variable library in Haskell, with Functor, Applicative and Monad instances.

pcgen