sparse-tensor VS linear-tests

Compare sparse-tensor vs linear-tests and see what are their differences.

sparse-tensor

typesafe implementation of tensor algebra in Haskell (by TobiReinhart)

linear-tests

tests for Matrix.Linear Haskell library. Includes Arbitrary instances and property tests (by minimapletinytools)
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sparse-tensor linear-tests
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13 0
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0.0 0.0
about 3 years ago almost 4 years ago
Haskell Haskell
MIT 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.

sparse-tensor

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

We haven't tracked posts mentioning sparse-tensor yet.
Tracking mentions began in Dec 2020.

linear-tests

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

We haven't tracked posts mentioning linear-tests yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing sparse-tensor and linear-tests you can also consider the following projects:

algebraic-graphs - Algebraic graphs

group-theory - The theory of groups

involutive-semigroups - Semigroups with involution.

partial-semigroup - A partial binary associative operator (appendMaybe :: a → a → Maybe a)

acts - Haskell library for semigroup actions and torsors

tropical-geometry - Haskell Library for Tropical Geometry

multi-instance - Multiple typeclass instances, selected by explicit application of a phantom type parameter

semilattices - join and meet semilattices, lower and upper bounds.