Nuitka
gefyra
Our great sponsors
Nuitka | gefyra | |
---|---|---|
94 | 15 | |
10,835 | 625 | |
2.1% | 1.3% | |
10.0 | 9.4 | |
about 14 hours ago | about 17 hours ago | |
Python | Python | |
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
gefyra
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mirrord VS gefyra - a user suggested alternative
2 projects | 3 Oct 2023
Gefyra attempts to provide the same value as mirrord, but in a different way (via VPN).
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Feedback wanted: multi-peer cluster development with Gefyra.
Please find the draft here: https://github.com/gefyrahq/gefyra/issues/353
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Local Development with hot reloading, what does your team do?
- https://gefyra.dev/
- The next phase of development on Kubernetes and the inner dev loop
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Local Docker container, connected to a Kubernetes cluster.
We recently presented our open-source tool Gefyra (https://gefyra.dev) at a "Kubernetes Community Days" event.
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Connecting a local container with a Kubernetes cluster
My team and I created the open-source tool Gefyra: https://github.com/gefyrahq/gefyra
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What techniques, tools, and libraries have you found that legitimately sped up your development time and/or made things easier for you?
Gefyra - a tool that creates local infrastructure to write code directly in a Kubernetes cluster while using conventional development tools (including debugger): https://gefyra.dev
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I was a bit annoyed explaining to our developers how to run their applications in a local Kubernetes cluster, so I started this little helper
As an example: for another project (https://gefyra.dev) I create a Deckfile which contains: - a Keycloak, with initial data (realm, clients, user, etc.) - a service with a sidecar pattern (oauth2-proxy for handling OIDC) - the K8s dashboard for developer experience Have a look: https://github.com/gefyrahq/gefyra-demos/blob/main/deck.yaml And all it takes to run this locally is deck get https://github.com/gefyrahq/gefyra-demos.git Epinio can effectively become part of the Deckfile (so the platform is installed locally already), and the developer can run epinio push immediately after deck get... to bring in new apps. Sounds good.
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Need help configuring Wire-guard on GKE > CloudSQL > pgAdmin
Mhh. Interesting. With Gefyra (https://gefyra.dev) I automated just that process and it seems to work. I tested it successfully with GKE. However, I decided to use a NodePort service. Is your GCP firewall rule UDP based (TCP is default and does not work)?
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Local Kubernetes development with GPU on Apple Silicon M1?
If a local Docker container instance supports GPU access on M1 Mac (and I really don't know) you could use Gefyra (https://gefyra.dev) to run the container with the special hardware requirements on you local Docker host and the rest within Minikube. The container running with Gefyra should behave as it would run within a Kubernetes namespace.
What are some alternatives?
PyInstaller - Freeze (package) Python programs into stand-alone executables
wireguard-operator - Painless deployment of wireguard on kubernetes
pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
gefyra - Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.
PyOxidizer - A modern Python application packaging and distribution tool
palm-cli - Palm CLI - the tool-belt for data teams
py2exe - modified py2exe to support unicode paths
interactive-coding-challenges - 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
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.
tuna - :fish: Python profile viewer
py2app
k8s-perf - A python tool to run sysbench (benchmark tool) and collect performance results