mwc-probability-transition VS nat-sized-numbers

Compare mwc-probability-transition vs nat-sized-numbers and see what are their differences.

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mwc-probability-transition nat-sized-numbers
- -
2 0
- -
0.0 0.0
almost 6 years ago almost 7 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" 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.

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.

nat-sized-numbers

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

We haven't tracked posts mentioning nat-sized-numbers yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing mwc-probability-transition and nat-sized-numbers you can also consider the following projects:

lbfgs - Haskell binding for liblbfgs

sparse-linear-algebra - Numerical computation in native Haskell

compensated - Compensated floating-point arithmetic

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

hyperloglog - A constant-memory approximation of set membership

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

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

limp - ideally, this will become a pure Haskell library for Linear Integer/Mixed Programming