learn-physics VS dimensional-codata

Compare learn-physics vs dimensional-codata and see what are their differences.

learn-physics

A library of functions for vector calculus, calculation of electric field, electric flux, magnetic field, and other quantities in mechanics and electromagnetic theory. (by walck)

dimensional-codata

CODATA Recommended Physical Constants with dimensional types (by dmcclean)
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learn-physics dimensional-codata
- -
174 2
- -
0.0 0.0
almost 2 years ago over 3 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.

learn-physics

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

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

dimensional-codata

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

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

What are some alternatives?

When comparing learn-physics and dimensional-codata you can also consider the following projects:

force-layout - Simulation engine for doing simple force-based layout

units-defs - Public repo for the units-defs package of well-typed unit definitions.

chiphunk

orbits - A package dealing with Kepler orbits.

light

hamilton - Simulate physics on generalized coordinate systems using Hamiltonian Mechanics and automatic differentiation. Don't throw away your shot.

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Did you konow that Haskell is
the 23rd most popular programming language
based on number of metions?