haskell-mpfr VS hasty-hamiltonian

Compare haskell-mpfr vs hasty-hamiltonian and see what are their differences.

hasty-hamiltonian

Speedy gradient-based traversal through parameter space. (by jtobin)
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haskell-mpfr hasty-hamiltonian
- -
5 6
- -
0.0 0.0
almost 7 years ago about 3 years ago
Haskell Haskell
LicenseRef-LGPL MIT 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.

haskell-mpfr

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

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

hasty-hamiltonian

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

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

What are some alternatives?

When comparing haskell-mpfr and hasty-hamiltonian you can also consider the following projects:

lbfgs - Haskell binding for liblbfgs

hyperloglog - A constant-memory approximation of set membership

microlens-aeson - Lenses and Traversals for Aeson, based on Microlens.

hmatrix-nlopt - High-level hmatrix-compatible bindings to NLOPT from Haskell

sparse-linear-algebra - Numerical computation in native Haskell

nat-sized-numbers - Arbitrarily sized wraparound numeric types. Useful for testing

log-domain - This package provides log-domain floats, doubles and complex numbers for Haskell.

approximate - Approximate discrete values and numbers

tdigest - On-line accumulation of rank-based statistics such as quantiles and trimmed means