nuitka VS Aquarium
Compare nuitka VS Aquarium and see what are their differences
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nuitka
PyInstaller
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nuitka AquariumBased on our record, nuitka seems to be a lot more popular than Aquarium. While we know about 36 links to nuitka, we've tracked only 2 mentions of Aquarium. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is a good place to mention https://nuitka.net/ which aims to compile python programs into standalone binaries. - Source: Hacker News / about 1 month ago
For Python, you could make a proper deployment binary using Nuitka (in standalone mode – avoid onefile mode for this). I'm not pretending it's as easy as building a Go executable: you may have to do some manual hacking for more unusual unusual packages, and I don't think you can cross compile. I think a key element you're getting at is that Go executables have very few dependencies on OS packages, but with Python... - Source: Hacker News / about 2 months ago
There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster. And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster. And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore. [0] https://nuitka.net/ [1] - Source: Hacker News / 5 months ago
Nuitka deals pretty well with those in general: https://nuitka.net/. - Source: Hacker News / 10 months ago
Have a look at Nuitka, which is a "real" Python compiler into C. It uses CPython in its backend and should be completely compatible to "regular" Python. The compiled code can, but does not have to improve performance. It's probably worth looking into. Source: about 1 year ago
Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
#ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: almost 3 years ago
PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...
Scale Nucleus - The mission control for your ML data
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
PerceptiLabs - A tool to build your machine learning model at warp speed.
Cython - Cython is a language that makes writing C extensions for the Python language as easy as Python...
ML Image Classifier - Quickly train custom machine learning models in your browser