julia-numpy-fortran-test
Comparing Julia vs Numpy vs Fortran for performance and code simplicity (by mdmaas)
Numpy-Done-Right
Make Python Great Again (by hirasawakinko)
julia-numpy-fortran-test | Numpy-Done-Right | |
---|---|---|
2 | 1 | |
7 | 11 | |
- | - | |
0.0 | 3.4 | |
almost 3 years ago | about 1 year ago | |
Fortran | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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.
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.
julia-numpy-fortran-test
Posts with mentions or reviews of julia-numpy-fortran-test.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-30.
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Optimized Rust Is Stil Slower Than Python+NumPy
No surprise, because NumPy is implemented with Fortran which is designed to be efficient and fast at mathematical operations. Rust is not. And Python is not either, which is why it uses Fortran under the covers.
I wouldn't be surprised to Rust numerical libraries created similar to NumPy which also use Fortran, for the same reasons.
If you want a real comparison, try NumPy vs Julia:
https://www.matecdev.com/posts/numpy-julia-fortran.html
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Julia: Faster than Fortran, cleaner than Numpy
Is the python code missing a square root?
https://github.com/mdmaas/julia-numpy-fortran-test/blob/main...
For fun I ran in Matlab with a 2.9 GHz i7-7820HQ and get about 1.83s for N=10,000 single threaded.
A = exp((k*1i)*sqrt(a.^2 + (a.^2)'))
Numpy-Done-Right
Posts with mentions or reviews of Numpy-Done-Right.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-30.
What are some alternatives?
When comparing julia-numpy-fortran-test and Numpy-Done-Right you can also consider the following projects:
Numba - NumPy aware dynamic Python compiler using LLVM
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
Tullio.jl - ⅀
JuliaInterpreter.jl - Interpreter for Julia code