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NumPy

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  Analyzed about 22 hours ago

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number ... [More] capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. NumPy is licensed under the BSD license, enabling reuse with few restrictions. [Less]

417K lines of code

219 current contributors

2 days since last commit

338 users on Open Hub

Very High Activity
4.71667
   
0 Reviews
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Mostly written in C
Licenses: No declared licenses
Tags complexnumbers fast functional math mathematics mathlibrary matrices matrix numerical python scientific vectors

graphene (graphic types library)

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  Analyzed about 11 hours ago

A thin layer of graphic data types

15.4K lines of code

8 current contributors

3 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in C
Licenses: mit
Tags c canvas datastructures development glib graphics math matrix optimization point portable rectangle 2 more...

nerdamer

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  Analyzed about 4 hours ago

A symbolic math parser for JavaScript.

20.8K lines of code

9 current contributors

about 1 year since last commit

1 users on Open Hub

Very Low Activity
5.0
 
0 Reviews
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Mostly written in JavaScript
Licenses: mit
Tags calculus complexnumbers computeralgebra computeralgebrasystem differentiation javascript javascript_library math mathematics matrices matrix parser 5 more...