lens-aeson VS sparse-linear-algebra

Compare lens-aeson vs sparse-linear-algebra and see what are their differences.

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lens-aeson sparse-linear-algebra
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48 87
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4.1 0.0
8 months ago over 3 years ago
Haskell Haskell
MIT License GNU General Public License v3.0 only
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.

lens-aeson

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

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

sparse-linear-algebra

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

We haven't tracked posts mentioning sparse-linear-algebra yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing lens-aeson and sparse-linear-algebra you can also consider the following projects:

hyperloglog - A constant-memory approximation of set membership

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

lbfgs - Haskell binding for liblbfgs

nlopt-haskell - Low-level Haskell bindings to the NLOPT library

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

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

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

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

simple-units - Haskell library for performing arithmetic with SI units with type-checked dimensional analysis