Brisk: Applied Numba

I Use This!

Inactive

Analyzed about 7 hours ago. based on code collected about 8 hours 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...

...
has had 16 commits made by 2 contributors
representing 483 lines of code
...
is mostly written in Python
with an average number of source code comments
...
has a young, but established codebase
maintained by nobody
with stable Y-O-Y commits
...
took an estimated 1 years of effort (COCOMO model)
starting with its first commit in March, 2015
ending with its most recent commit over 9 years ago

Quick Reference

Project Links:

Homepage
Download

Code Locations:

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

Similar Projects:

Managers:

Become the first manager for Brisk: Applied Numba

This Project has No vulnerabilities Reported Against it

Did You Know...

...
65% of companies leverage OSS to speed application development in 2016
...
compare projects before you chose one to use
...
55% of companies leverage OSS for production infrastructure
...
by exploring contributors within projects, you can view details on every commit they have made to that project