nimber VS hmatrix

Compare nimber vs hmatrix and see what are their differences.

nimber

Finite nimber arithmetic (by andersk)

hmatrix

Linear algebra and numerical computation (by haskell-numerics)
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nimber hmatrix
0 2
2 373
- 0.0%
0.0 0.0
over 4 years ago 4 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.

nimber

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

We haven't tracked posts mentioning nimber 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

What are some alternatives?

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

hTensor - Multidimensional arrays and simple tensor computations

linear - Low-dimensional linear algebra primitives for Haskell.

algebra - constructive abstract algebra

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

diagrams-solve - Miscellaneous solver code for diagrams (low-degree polynomials, tridiagonal matrices)

hblas - haskell bindings for blas and lapack

nats - Haskell 98 Natural Numbers

vector - An efficient implementation of Int-indexed arrays (both mutable and immutable), with a powerful loop optimisation framework .

math-functions - Special mathematical functions

fast-math - Play fast and loose with IEEE-754 rewrite RULES

hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.