mamba
PyInstaller
mamba | PyInstaller | |
---|---|---|
34 | 105 | |
6,312 | 11,341 | |
3.4% | 1.4% | |
9.5 | 9.6 | |
7 days ago | 9 days ago | |
C++ | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
mamba
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Minimal implementation of Mamba, the new LLM architecture, in 1 file of PyTorch
>"everyone" seems to know Mamba. I never heard of Mamba
Only the "everybody who knows what mamba is" are the ones upvoting and commenting. Think of all the people who ignore it. For me, Mamba is the faster version of Conda [1], and that's why I clicked on the article.
https://github.com/mamba-org/mamba
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Towards a New SymPy
Yes, this is a big disadvantage. But have you tried Mamba that aims at implementing Anaconda more efficiently? It works really well in most cases.
https://mamba.readthedocs.io/
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Why are the bioconda bioconductor packages so slow to update?
Because conda is very slow at resolving dependencies. Mamba (https://github.com/mamba-org/mamba) is faster if that is your goal
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Is pip gaining on conda for python libs?
use mamba instead
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Real-world examples of std::expected in codebases?
We started using tl::expected in https://github.com/mamba-org/mamba/ since the beginning of this year and some other related projects like https://github.com/mamba-org/powerloader . I don't know much other big open-source codebases that use that specific lib.
- Mamba: A Drop-In Replacement for Conda Written in C++
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What's Great about Julia?
Great writeup. Minor comment about the portion of the post mentioning Conda being glacially slow: Mamba [1] is a much better drop-in replacement written in C++. Not only is it significantly faster, but error messages are much more sane and helpful.
That being said, I do agree that Pkg.jl is much more sleek and modern than Conda/Mamba.
[1]: https://github.com/mamba-org/mamba
- Mamba Reaches 1.0
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Given Rust’s rapidly growing popularity and wide range of use cases, it seems almost inevitable that it will overtake Python in the near future.
I thought that python could live a little longer when I learned about mamba. But then I found out it is written in C++? Why write a package manager for a dying language in a language that is almost dead???
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Does anyone use virtual environments (Conan's virtual env. or Conda's) for C++
Yes, I use Conda enviroments (actually I use Mamba to manage them now).
PyInstaller
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Python 3.12.1 Released
Not sure if fixed in this patch, but pyinstaller had an issue in 3.12.0 https://github.com/pyinstaller/pyinstaller/issues/7992
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Why not tell people to “simply” use pyenv, poetry or anaconda
You are right. I think I've misremembered the module name - it was uwsgi, not uvicorn.
This is a github issue where I discussed my original issue with PyInstaller devs - the dev explained the situation very well: https://github.com/pyinstaller/pyinstaller/issues/6362
- Automations/Scripts should I let them have it after resign?
- Question: Modifying HTML in Rust
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Shipping large ML models with electron
PyInstaller seemed like the most maintained and developed tool to freeze python script into an executable, so I went with it. As expected, the freezed interface with the model was gigabytes large, so I had to figure out how to squeeze this. Fortunately, Onnx worked wonders and packaged the model into an inference only state, so I could throw away the Pytorch and Torchtext dependencies when freezing with Pyinstaller.Now the size of the executable with the model was 43MB instead of 4GB.
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.py to .msi
You might want to see Pyinstaller and auto_py_to_exe if you want a GUI interface.
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How to make a GUI translator app with Python Tkinter
It uses the pyinstaller command behind and please read their docs if you want to know more details.
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PROGRAMMING MAKES MY DAY
I also found another link on github that may have some solutions to try: https://github.com/pyinstaller/pyinstaller/issues/3600
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importlib.metadata.PackageNotFoundError: No package metadata was found for djoser pyinstaller
I made a Django react app. Now I want to make it a desktop application so that the user does not have type python manage.py runserver and also activate the environment every time. I used pyinstaller. I did all the steps mentioned for django
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PassGen | Password generator/manager.
First, instead of creating a VM for windows, you may need to use a software called Wine mentioned in the pyinstaller FAQs
What are some alternatives?
miniforge - A conda-forge distribution.
Nuitka - Nuitka 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. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
PyOxidizer - A modern Python application packaging and distribution tool
pip - The Python package installer
py2exe - modified py2exe to support unicode paths
pyenv - Simple Python version management
py2app
conda-lock - Lightweight lockfile for conda environments
pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
pyre-check - Performant type-checking for python.
pynsist - Build Windows installers for Python applications