poly VS hsignal

Compare poly vs hsignal and see what are their differences.

hsignal

Signal processing for Haskell based on hmatrix (by amcphail)
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poly hsignal
- -
65 5
- -
4.5 0.0
7 months ago over 7 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.

poly

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

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

hsignal

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

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

What are some alternatives?

When comparing poly and hsignal you can also consider the following projects:

mod - Modular arithmetic, promoting moduli to the type level

lambda-calculator - An introduction to the Lambda Calculus

curve25519 - Haskell Curve25519 bindings.

type-natural - Type-level well-kinded natural numbers.

Lattices - A package for Lattices in Haskell. With a very basic LLL (Lenstra-Lenstra-Lovász) lattice reduction algorithm

polynomial - Haskell library for manipulating and evaluating polynomials

ms - metric spaces

rounded - MPFR bindings for Haskell

monte-carlo - A Monte Carlo monad and transformer for Haskell.

estimator - State-space estimation algorithms and models

roots - 1-dimensional root-finding algorithms in Haskell

hTensor - Multidimensional arrays and simple tensor computations