sim-c
prometeo
sim-c | prometeo | |
---|---|---|
2 | 11 | |
140 | 610 | |
0.0% | - | |
0.0 | 0.0 | |
over 1 year ago | almost 2 years ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 2-clause "Simplified" License |
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sim-c
- sim-C does not process the [dynamically typed] code and simply translates it to C thus, there is no possibility of the code running slowly
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Writing code in C? Simplify your life with sim-C
sim-C is still in continuous development and some amazing changes are on the way!! Do check out the Github repo and star it to be in touch with the updates taking place.
prometeo
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Borgo is a statically typed language that compiles to Go
Not impossible but I guess you might end up with an extra runtime layer and some more dynamic operations will not be very fast. Or you restrict it to a subset of Python like this project does: https://github.com/zanellia/prometeo
You could of course write a bytecode VM in Golang but I guess that defeats the purpose.
- Are there any libraries that can easily convert Python to C/C#/or C++? Ones where a person doesn't have to "calibrate" it, just, pip install library and then they can have their Python code in C,C#,or C++?
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I made a Python compiler, that can compile Python source down to fast, standalone executables.
Honest question: How does pycom compare to similar tools like Nuitka, prometeo, or mypyc?
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Profiling and Analyzing Performance of Python Programs
If you don't mind switching to a little different syntax of Python, then you also might want to take a look at prometeo - an embedded domain specific language based on Python, specifically aimed at scientific computing. Prometeo programs transpile to pure C code and its performance can be comparable with hand-written C code.
- GitHub - zanellia/prometeo: An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
- Show HN: Prometeo – a Python-to-C transpiler for high-performance computing
- An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
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Show HN: prometeo – a Python-to-C transpiler for high-performance computing
This is awesome! The direction of using a subset of python, while leveraging the user base and static typing to accomplish some other everyday task in a different language is very legit IMO.
I took a cursory look at:
https://github.com/zanellia/prometeo/blob/master/prometeo/cg...
It seems quite similar in spirit to
https://github.com/adsharma/py2many/blob/main/pyrs/transpile...
I'm not spending much time on py2many last few months (started a new job). Let me know if any of it sounds useful - especially the ability to transpile to 7-8 languages including Julia, C++ and Rust.
What are some alternatives?
ShivyC - C compiler created in Python.
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
PyMakeCli - An easy to use C/C++ compiler linker and flagger.
llvm-cbe - resurrected LLVM "C Backend", with improvements
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
acados - Fast and embedded solvers for nonlinear optimal control
textX - Domain-Specific Languages and parsers in Python made easy http://textx.github.io/textX/
MatrixEquations.jl - Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
pypperoni - Pypperoni Python Compiler Source Code
pavilion2 - Pavilion is a Python 3 (3.5+) based framework for running and analyzing tests targeting HPC systems.
hpipm - High-performance interior-point-method QP and QCQP solvers
OpenBLAS - OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.