limp VS hasty-hamiltonian

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

limp

ideally, this will become a pure Haskell library for Linear Integer/Mixed Programming (by amosr)

hasty-hamiltonian

Speedy gradient-based traversal through parameter space. (by jtobin)
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limp hasty-hamiltonian
- -
16 6
- -
0.0 0.0
over 5 years ago about 3 years ago
Haskell Haskell
MIT License 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.

limp

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

We haven't tracked posts mentioning limp 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 limp and hasty-hamiltonian you can also consider the following projects:

limp-cbc - Coin-OR/CBC bindings for Haskell

hyperloglog - A constant-memory approximation of set membership

lbfgs - Haskell binding for liblbfgs

half - half-precision floating-point

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

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

sparse-linear-algebra - Numerical computation in native Haskell

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

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