fastr
Numba
fastr | Numba | |
---|---|---|
3 | 124 | |
611 | 9,471 | |
-0.2% | 1.1% | |
9.0 | 9.9 | |
7 days ago | 4 days ago | |
Java | Python | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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fastr
- Launch HN: Enso (YC S21) – Visual programming and workflow tool for data science
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Enso 2.0 is out! Visual programming in Python, Java, R, and JavaScript. Written in Rust and running in WebGL.
We have pretty good support for R. Importing libraries is a little bit hacky atm, but we can help with it. On the other hand, Enso-R runs up to 25 TIMES faster than GNU-R (benchmarks: https://github.com/oracle/fastr), which makes it amazingly suitable for building R-based workflows.
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R compiler similar to Numba
Two main approaches. There is renjin which an implementation of R on the JVM https://www.renjin.org/. You can also have a look at https://github.com/oracle/fastr which is an implementation of R on GraalVM.
Numba
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Mojo🔥: Head -to-Head with Python and Numba
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
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Is anyone using PyPy for real work?
Simulations are, at least in my experience, numba’s [0] wheelhouse.
[0]: https://numba.pydata.org/
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Any data folks coding C++ and Java? If so, why did you leave Python?
That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees.
- Using Matplotlib with Numba to accelerate code
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Python Algotrading with Machine Learning
A super-fast backtesting engine built in NumPy and accelerated with Numba.
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PYTHON vs OCTAVE for Matlab alternative
Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.
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Codon: Python Compiler
Just for reference,
* Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11."
* Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.
* Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."
* Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."
* Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"
[0] https://github.com/Nuitka/Nuitka
[1] https://www.pypy.org/
[2] https://cython.org/
[3] https://numba.pydata.org/
[4] https://github.com/pyston/pyston
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This new programming language has the potential to make python (the dominant language for AI) run 35,000X faster.
For the benefit of future readers: https://numba.pydata.org/
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Two-tier programming language
Taichi (similar to numba) is a python library that allows you to write high speed code within python. So your program consists of slow python that gets interpreted regularly, and fast python (fully type annotated and restricted to a subset of the language) that gets parallellized and jitted for CPU or GPU. And you can mix the two within the same source file.
- Numba Supports Python 3.11
What are some alternatives?
graalpython - A Python 3 implementation built on GraalVM
NetworkX - Network Analysis in Python
enso - Hybrid visual and textual functional programming.
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
graal-js-jdk11-maven-demo - An example project how to run Graal/JavaScript on JDK 11 with Graal as optimizing JIT compiler for best performance.
Dask - Parallel computing with task scheduling
graalvm-ce-builds - GraalVM CE binaires built by the GraalVM community
cupy - NumPy & SciPy for GPU
benchmarks
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
ide - Enso – a visual and textual functional programming language.
SymPy - A computer algebra system written in pure Python