log-domain VS mwc-probability-transition

Compare log-domain vs mwc-probability-transition and see what are their differences.

log-domain

This package provides log-domain floats, doubles and complex numbers for Haskell. (by ekmett)
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log-domain mwc-probability-transition
- -
12 2
- -
3.0 0.0
9 months ago almost 6 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.

log-domain

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

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

mwc-probability-transition

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

We haven't tracked posts mentioning mwc-probability-transition yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing log-domain and mwc-probability-transition you can also consider the following projects:

sparse-linear-algebra - Numerical computation in native Haskell

lbfgs - Haskell binding for liblbfgs

hyperloglog - A constant-memory approximation of set membership

hasty-hamiltonian - Speedy gradient-based traversal through parameter space.

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

repr - Render overloaded expressions to their textual representation.

hafar - Affine arithmetic library for Haskell

lens-aeson - Traversals and Prisms for Data.Aeson