numhask VS hmatrix

Compare numhask vs hmatrix and see what are their differences.

numhask

A haskell numeric prelude, providing a clean structure for numbers and operations that combine them. (by tonyday567)

hmatrix

Linear algebra and numerical computation (by haskell-numerics)
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numhask hmatrix
- 2
67 378
- 0.5%
6.8 3.4
3 months ago 2 months 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.

numhask

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

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

hmatrix

Posts with mentions or reviews of hmatrix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-18.
  • Rust concepts I wish I learned earlier
    3 projects | news.ycombinator.com | 18 Jan 2023
    Two things that might help Rust a lot despite the complexity is the tooling and the ecosystem. Cargo is good, the compiler is extremely helpful, and there are a lot of crates to build on for all sorts of tasks.

    For example, if I need to use simulated annealing to solve an optimization problem, there already exist libraries that implement that algorithm well.[1] Unfortunately, the Haskell library for this seems to be unmaintained[2] and so does the OCaml library that I can find.[3] Similarly, Agda, Idris, and Lean 4 all seem like great languages. But not having libraries for one's tasks is a big obstacle to adoption.

    Nim looks very promising. (Surprisingly so to me.) Hopefully they will succeed at gaining wider recognition and growing a healthy ecosystem.

    [1] E.g., https://github.com/argmin-rs/argmin

    [2] https://hackage.haskell.org/package/hmatrix-gsl-0.19.0.1 was released in 2018. (Although there are newer commits in the GitHub repo, https://github.com/haskell-numerics/hmatrix. Not too sure what is going on.)

    [3] https://github.com/khigia/ocaml-anneal

  • Numpy style linear algebra
    1 project | /r/haskell | 15 Dec 2021
    hmatrix covers the essentials; less feature-complete than python/matlab, partly because several orders of magnitudes less people use it, partly because it's meant as the "essential core".

What are some alternatives?

When comparing numhask and hmatrix you can also consider the following projects:

nuha

hTensor - Multidimensional arrays and simple tensor computations

deeplearning-hs

nimber - Finite nimber arithmetic

dvda - (deprecated) Symbolic expressions and algorithmic differentiation in Haskell.

hmatrix-repa - Compatability between hmatrix and repa matrices and vectors

tower - Deprecated in favour of https://github.com/tonyday567/numhask

math-functions - Special mathematical functions

jalla - Just another library for linear algebra (Haskell)

hmatrix-quadprogpp - bindings to quadprog++

noether - Highly polymorphic algebraic structures with custom deriving strategies

hmatrix-nipals - Haskell library for Nonlinear Iterative Partial Least Squares method for Principal Components Analysis on large datasets