libRL
A Python library for characterizing Microwave Absorption (by mgdotdev)
pyjulia
python interface to julia (by JuliaPy)
libRL | pyjulia | |
---|---|---|
1 | 2 | |
3 | 887 | |
- | 0.2% | |
2.3 | 5.6 | |
over 1 year ago | 10 months ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
libRL
Posts with mentions or reviews of libRL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-23.
pyjulia
Posts with mentions or reviews of pyjulia.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-23.
-
Julia -> Python
I understand and yep, totally agree. I would first use something like https://github.com/JuliaPy/pyjulia and build unit tests. Then I would work to migrate each part into Python using the unit tests to ensure the algorithm is correctly re-implemented.
-
Writing entire programs in Cython
You can integrate Python and Julia code with https://github.com/JuliaPy/PyCall.jl and https://github.com/JuliaPy/pyjulia .
What are some alternatives?
When comparing libRL and pyjulia you can also consider the following projects:
thermo - Thermodynamics and Phase Equilibrium component of Chemical Engineering Design Library (ChEDL)
Numba - NumPy aware dynamic Python compiler using LLVM
chemprop - Message Passing Neural Networks for Molecule Property Prediction
PyCall.jl - Package to call Python functions from the Julia language
deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).