Nuitka
podman
Nuitka | podman | |
---|---|---|
94 | 359 | |
10,921 | 21,816 | |
2.8% | 1.8% | |
10.0 | 10.0 | |
1 day ago | 5 days ago | |
Python | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
Nuitka
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Py2wasm – A Python to WASM Compiler
Thanks for the feedback! I'm Syrus, main author of the work on py2wasm.
We already opened a PR into Nuitka to bring the relevant changes upstream: https://github.com/Nuitka/Nuitka/pull/2814
We envision py2wasm being a thin layer on top of Nuitka, as also commented in the article.
From what we gathered, we believe that there's usefulness on having py2wasm as a separate package, as py2wasm would also need to ship the precompiled Python distribution (3.11) for WASI (which will not be needed for the other Nuitka use cases), apart of also shipping other tools that are not directly relevant for Nuitka
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Python Is Portable
This is a good place to mention https://nuitka.net/ which aims to compile python programs into standalone binaries.
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We are under DDoS attack and we do nothing
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 (once you've sorted the actual Python dependencies) you only need the packages used for manylinux [2], which is not too onerous.
[1] https://nuitka.net/
[2] https://peps.python.org/pep-0599/#the-manylinux2014-policy
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Faster Blogging: A Developer's Dream Setup
glee is rich in blogging features but has some drawbacks. One of the main drawbacks is its compatibility with multiple operating systems and system architectures. We lost one potential customer due to glee incompatibility in macOS. Another major issue is the deployment time. We built the first version of glee entirely in Python and used nuitka, nuitka compiles Python programs into a single executable binary file. We need to create three separate stages for creating executable binaries for Windows, Mac, and Linux in deployment, and it takes around 20 minutes to complete.
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Python 3.13 Gets a JIT
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] https://github.com/python/mypy/tree/master/mypyc
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Briefcase: Convert a Python project into a standalone native application
Nuitka deals pretty well with those in general: https://nuitka.net/
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Ask HN: How does Nuitka (Python compiler) work?
Hi HN,
Has anyone explored Nuitka [1] and developed understanding from a blank slate?
Is there any toy version of this, so that one can start playing with the language translation concepts?
Is there any underlying theory/inspiration upon which this project is built?
Are there any similar projects, in say other languages?
[1] https://github.com/Nuitka/Nuitka
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Why not tell people to “simply” use pyenv, poetry or anaconda
That's more of cultural problem in the Python community.
If I provide an end user software to my client written an Python (so not a backend, not a lib...), I will compile it with nuitka (https://github.com/Nuitka/Nuitka) and hide the stack trace (https://www.bitecode.dev/p/why-and-how-to-hide-the-python-st...) to provide a stand alone executable.
This means the users don't have to know it's made with Python or install anything, and it just works.
However, Python is not like Go or Rust, and providing such an installer requires more than work, so a huge part of the user base (which have a lot of non professional coders) don't have the skill, time or resources to do it.
And few people make the promotion of it.
I should write an article on that because really, nobody wants to setup python just to use a tool.
- Python cruising on back of c++
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Is cython a safe option for obfuscate a python project?
As for a simpler option, you could use a "compiler": https://github.com/Nuitka/Nuitka
podman
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How I ended up using Colima for Docker on Apple Silicon
A lot of well-known Docker alternatives emerged at this point, the most commonly recommended of which must be Podman (along with Podman Desktop). This is what I use on my Windows machines, and this was the first solution that I tried on the Macbook as well.
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Podman 5.0 has been released
Example of why: https://github.com/containers/podman/issues/5102#issuecommen...
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Exploring 5 Docker Alternatives: Containerization Choices for 2024
Podman
- Podman 5.0.0: final release candidate
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A Gentle Introduction to Containerization and Docker
Even though we will focus on Docker for this article, I wanted to mention that there are more container creation and management tools such as Podman, Rkt, and so on.
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A Journey to Find an Ultimate Development Environment
By using containerization, the application will always have the same configuration that is used in the development environment and production environment. There is no more "It works on my machine". Some examples of containerization technologies are Docker and Podman.
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Anatomy of Docker
Podman Documentation. Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System.
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Exploring Podman: A More Secure Docker Alternative
AFAIK podman either already supports pods in quadlet container files, or will in the near future. https://github.com/containers/podman/pull/20762
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Podman Desktop 1.6 released: Even more Kubernetes and Containers features
Podman as a devcontainers engine doesn't currently work if you use devcontainer features [1] or (and this sounds like you're issue) if you use WSL2.
I haven't submitted the WSL2 issue to the Podman team yet. If you get to it before I do, can you like it here?
https://github.com/containers/podman/issues/18691#issuecomme...
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Oracle data base
You can also use their Oracle Linux Docker images with the database preinstalled using either Podman or Docker. Just make absolutely sure you are downloading something you are licensed to use, because it seems really easy to accidentally infringe copyright via this method.
What are some alternatives?
PyInstaller - Freeze (package) Python programs into stand-alone executables
Portainer - Making Docker and Kubernetes management easy.
pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
lima - Linux virtual machines, with a focus on running containers
PyOxidizer - A modern Python application packaging and distribution tool
kaniko - Build Container Images In Kubernetes
py2exe - modified py2exe to support unicode paths
rancher - Complete container management platform
false-positive-malware-reporting - Trying to release your software sucks, mostly because of antivirus false positives. I don't have an answer, but I do have a list of links to help get your code whitelisted.
containerd - An open and reliable container runtime
py2app
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...