textX
prometeo
| textX | prometeo | |
|---|---|---|
| 2 | 11 | |
| 755 | 610 | |
| 0.5% | - | |
| 8.3 | 0.0 | |
| 19 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
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textX
- Da li u Srbiji , generalno prostoru balkana , ima "Ozbiljnih" Open source kreatora?
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Reflections on the Lack of Adoption of Domain Specific Languages [pdf]
Textx is the only game in town.
https://github.com/textX/textX
Last commit was a week ag
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?
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
llvm-cbe - resurrected LLVM "C Backend", with improvements
rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store
acados - Fast and embedded solvers for nonlinear optimal control
pydantic - Data validation using Python type hints
MatrixEquations.jl - Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
neanderthal - Fast Clojure Matrix Library
pypperoni - Pypperoni Python Compiler Source Code