MicroPyScript
ctop
MicroPyScript | ctop | |
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33 | 38 | |
57 | 15,181 | |
- | - | |
10.0 | 0.0 | |
10 months ago | 7 months ago | |
JavaScript | Go | |
Apache License 2.0 | MIT License |
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MicroPyScript
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Learn WebAssembly by writing small programs
> And currently using anything but C, C++ or Rust isn't feasible
Someone should tell Anaconda that they can't do this, then: https://pyscript.net/
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Microsoft is bringing Python to Excel
There's https://pyscript.net/ -- or do you mean for scripting the browser's behaviour rather than replacing JS in website code?
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Icepool: Python dice probability package
Icepool is a Python package. If you know Python, you have a head start in understading Icepool's syntax. Icepool is written in pure Python and has no dependencies other than the Python Standard Library, allowing you to run it in most places you can run Python. You can directly interoperate Icepool with the extensive Python ecosystem, including Numpy, Matplotlib, and Pandas. Recent projects such as Pyodide, JupyterLite, and PyScript allow Icepool to interoperate with JavaScript, allowing you to make your own web applications using Icepool.
- Should i quit Django and move to node JS
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Javascript alternative to anydice?
But we're not stuck with one or the other. Python-JS interop has improved greatly in recent years with projects like Pyodide, JupyterLite, and PyScript. Often my strategy is to do the probability in Python and use JS for visualization, as you can see in this ability score calculator or this AnyDice-like interface.
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Lua: The Little Language That Could
same was done for other languages too, like Python https://pyscript.net/
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But how do I do this in Python?
Finally, there's PyScript. The dream of many Python developers, PyScript allows Python to run in the browser using WebAssembly. As someone who never fully mastered JavaScript, I find this particularly appealing.
- After tearing my hair out writing JavaScript the last few days how close are we to Python in the browser?
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From website (javascript) to program (python), how?
I assume your goal is to write the least amount of JavaScript. There's actually a way to run Python in your browser. Take a look at pyscript.net. Not everything is supported, however, so you'd have to check whether the dependencies of the tools you have developed can run.
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How to make a Python small project using HTML and CSS? I am a beginner.
PyScript. I made a small single-page site that translates code into english with it. Really neat learning experience.
ctop
- Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
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Lazydocker
This does remind me of ctop as well: https://github.com/bcicen/ctop
It also let's you look at containers, resource usage graphs, their logs and even do some actions through a TUI.
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Portainer Business Edition 5 free nodes plan will change to 3 nodes in the future.
ssh, nnn, micro and ctop is all I need on my dockerhosts
- Ctop β Top-like interface for container metrics
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Found an amazingly handy terminal UI for both docker and docker-compose. Have actually just added the bin to my git repo with all my compose files. Great for a quick look at what is going on host machines.
My problem with ctop is, that it seems to show wrong memory usage data: https://github.com/bcicen/ctop/issues/314
- FLaNK Stack Weekly 3 April 2023
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Portainer Alternatives?
When talk about interface and cli... I am a huge fan of ctop
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What do you think about Portainer?
You can use CTOP. It's like a lite portainer on CLI. You can check logs, stats, restart containers.
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Ask HN: What is the best source to learn Docker in 2023?
In the terminal, there are also a few useful projects:
- for Docker, there is ctop: https://github.com/bcicen/ctop
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Docker 2.0 went from $11M to $135M in 2 years
> I tried portainer, awful UX experience and all good features are inside paid version.
This is interesting to me, because it doesn't quite match my experience - I've been using Portainer for around 3 years at this point and it's been pretty decent.
The worst issues that I've gotten is networking issues in some hybrid configurations with Docker Swarm (e.g. Portainer cannot reach the manager node of the cluster for a bit), or troubles configuring Traefik ingresses when managing Kubernetes (though I think the recent patch notes talked about improving the ingress section, so maybe the experience will get better with non-Nginx ingresses).
Other than that, it's been great for onboarding new people, illustrating the cluster state at a glance, easily operating with stacks and scaling/restarting services as needed, including pulling new images, viewing the logs or even connecting to containers through a web UI if need be. The webhook functionality in particular is really nice - you can just do a curl request against a given URL and that will pull the new container versions for the given image and do a redeploy, which works nicely with a variety of CI solutions.
When I last tried, initializing Nomad clusters with networking encryption was a bit less of a smooth experience (needing to essentially manage your own PKI) and the web UI felt more like a dashboard, instead of something that you could click around in, if you're a proponent of that workflow.
Rancher is probably better than both of those options, though there's a certain overhead in regards to running both that software and a full Kubernetes cluster. If Kubernetes feels like a good fit for a particular project and resources aren't an issue, definitely check it out! You can, of course, also have some success with lightweight clusters, like K3s: https://k3s.io/
I'll definitely agree that Lazydocker is a nice tool, but I wouldn't call it superior, just different (TUI vs GUI), their demo video is nice though: https://youtu.be/NICqQPxwJWw
It actually reminds me of ctop, which you might also want to check out, though it's not something that you'd manage clusters in, merely the individual containers on a node (which won't always be enough, same as Docker Compose isn't): https://github.com/bcicen/ctop
Regardless, for Kubernetes, I'm inclined to say that you'd enjoy k9s a bunch then, it has a similar TUI approach: https://k9scli.io/
What are some alternatives?
blobby-generator - Generative SVG blob characters.
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
reflex - πΈοΈ Web apps in pure Python π
colima - Container runtimes on macOS (and Linux) with minimal setup
vuepython - Edit and run Python code in Vuejs
go-dry - DRY (don't repeat yourself) package for Go
fengari-phaser-tutorial-02
minify - Go minifiers for web formats
Blobby - Generative SVG blob characters
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
netspeed_pc - Monitor live bandwidth usage/ network speed on PC. Native version also available for Android, separately.
git-time-metric - Simple, seamless, lightweight time tracking for Git