iminuit
Jupyter-friendly Python interface for C++ MINUIT2 (by scikit-hep)
shared_numpy
A simple library for creating shared memory numpy arrays (by dillonalaird)
iminuit | shared_numpy | |
---|---|---|
2 | 1 | |
273 | 40 | |
1.1% | - | |
8.6 | 0.0 | |
5 days ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT 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.
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.
iminuit
Posts with mentions or reviews of iminuit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-23.
-
Need help building python-iminuit
- name: python-iminuit buildsystem: simple build-commands: - python3 setup.py build - python3 setup.py install --prefix=${FLATPAK_DEST} --root=/ --optimize=1 sources: - type: git url: https://github.com/scikit-hep/iminuit tag: v2.4.0
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Julia is the better language for extending Python
Have you tried numba+numpy? In my experience, it is much faster than Jax and can compile to cuda. It's not caveat free, but it also removes the hustle of labeling arrays as donated in Jax.
You may find this interesting https://github.com/scikit-hep/iminuit/blob/develop/tutorial/...
shared_numpy
Posts with mentions or reviews of shared_numpy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-19.
-
Julia is the better language for extending Python
There are also some libraries built on top of it that might be useful https://github.com/dillonalaird/shared_numpy
What are some alternatives?
When comparing iminuit and shared_numpy you can also consider the following projects:
julia - The Julia Programming Language
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
Python-Complementary-Languages - Just a small test to see which language is better for extending python when using lists of lists
flatpak-builder-tools - Various helper tools for flatpak-builder
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
uproot5 - ROOT I/O in pure Python and NumPy.
pypolyline - Fast Google Polyline encoding and decoding using a Rust binary
hist - Histogramming for analysis powered by boost-histogram
DiAtomic - Software package for performing various computations of diatomic molecules.
iminuit vs julia
shared_numpy vs cunumeric
iminuit vs Python-Complementary-Languages
shared_numpy vs Python-Complementary-Languages
iminuit vs flatpak-builder-tools
shared_numpy vs rust-numpy
iminuit vs uproot5
shared_numpy vs pypolyline
iminuit vs rust-numpy
iminuit vs hist
iminuit vs cunumeric
iminuit vs DiAtomic