Brisk: Applied Numba

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Analyzed almost 1 year ago. based on code collected about 1 year ago.

Project Summary

Optimized numerical computation using Continuum's Numba. Intended as a drop-in replacement for numerical functions in numpy, scipy, or builtins. Provides strong performance boosts.

Inputs use numpy arrays. Using other formats like lists, or pandas Dataframes will adversely affect speed. Rough/early release - Open to suggestions and bug reports.

In a Nutshell, Brisk: Applied Numba...

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has had 16 commits made by 2 contributors
representing 483 lines of code
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is mostly written in Python
with an average number of source code comments
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has a young, but established codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in March, 2015
ending with its most recent commit almost 8 years ago

Quick Reference

Project Links:

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Code Locations:

https://github.com/David-OConnor...

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This Project has No vulnerabilities Reported Against it

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