Rust Language Server
DISCONTINUED
Water.css
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Rust Language Server | Water.css | |
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6 | 33 | |
3,568 | 8,140 | |
- | - | |
7.0 | 0.0 | |
over 1 year ago | about 2 months ago | |
Rust | CSS | |
GNU General Public License v3.0 or later | MIT License |
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.
Rust Language Server
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Why doesn't rust-analyzer reuse infrastructures of rustc?
In the last there was RLS that did exactly that. But the approach of rust-analyzer was found to be more performant.
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[RFC] Generate Cabal files from TOML
LSP support seems to be lacking as well, at least rust doesn't seem to have Cargo.toml support? https://github.com/rust-lang/rls/issues/785
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friendly reminder for our vscode folks, use rust-analyzer
Why: The rust-analyzer extension integrates with rust-analyzer, an alternative language server for Rust. rust-analyzer tends to perform better and get less confused with your code as compared to RLS, which the Rust extension uses.
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Show HN: Skruv – No-dependency, no-build, small JavaScript framework
I have tried writing websites with rust instead of JavaScript. Unfortunately, the tooling is just not there. More specifically, I am talking about wasm-bindgen, which provides two-way bindings. The problem with it is that since all the declarations are generated with build.rs, there is no autocompletion. Since I am spoiled by modern tooling, no autocompletion to me means not feasible pass demo stage. (https://github.com/rust-lang/rls/issues/1489)
Aside from the lack of autocompletion, passing rust closures to js land (DOM) is extremely janky as well. However, that might be caused by my lack of experience with rust.
(If you are curious, this is what I made: https://github.com/SCLeoX/non-grid-path-finder)
Water.css
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Where Is Noether's Principle in Machine Learning?
Thank you!
In the beginning, I used kognise'z water.css [1], so most of the smart decisions (background/text color, margins, line spacing I think) probably come from there. Since then it's been some amount of little adjustments. The font is by Jean François Porchez, called Le Monde Livre Classic [2].
I draft in Obsidian [3] and build the site with a couple python scripts and KaTeX.
[1] https://watercss.kognise.dev/
[2] https://typofonderie.com/fr/fonts/le-monde-livre-classic
- CSS for readability
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No CSS Club – because no JavaScript was not hardcore enough
https://watercss.kognise.dev/ I would argue classless css is the way to go, you just include a single css file, then write your html without touching any css anymore, all related tags in html are inherently css-ed for you. a nice trade off for me sometimes.
- Filenames and Pathnames in Shell: How to Do It Correctly
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Classless.css – Less Classes. Less Overhead
Like the previous submitter ( https://news.ycombinator.com/item?id=30885700 April 2022 ) I found clasless.css while investigating semantic html-oriented css libraries and this one stood out to me as having a good balance. I'm not ideologically opposed to using classes, but using them for every bit of styling seems off and I'd rather see good default styles for regular semantically structured html. For example, classless.css uses the "card" class for cards which don't have a clear analog in among standard html tags: https://developer.mozilla.org/en-US/docs/Web/HTML/Element
Other libraries:
Water.css: https://watercss.kognise.dev/
MVP.css: https://andybrewer.github.io/mvp/
Missing.css: https://missing.style/
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Ur Go-To on UI with Flask?
WaterCSS, very basic but good-looking UI in my opinion
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Looks great on my machine
Slap this on it and you're good: https://github.com/kognise/water.css/
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Show HN: Neat, the Minimalist CSS Framework
- https://watercss.kognise.dev/ Small size (< 2kb)
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Ask HN: What would be your stack if you are building an MVP today?
Assuming web app.
1. Python.
2. Flask. Pure server-rendered HTML, no fancy frontend. Avoid JS as long as I can, just use jinja templates. If my app is not going to work with good old HTML and CSS chances are it's not going to work at all.
3. Classless CSS framework. I like this: https://watercss.kognise.dev/.
4. Sqlite3 or Postgres. Prefer postgres because with docker it's 5 minutes to set up. I use SQLAlchemy from the start because it makes life easier. If you ever deploy and worry about real data you add alembic for migrations.
5. One docker compose for everything.
6. Cheap VPS for like $3 per month.
That's it. I would like to upgrade my MVP stack, but it's battle-tested and it works well. After the 9 to 5 I only have like 3 brain cells alive so I need to get stuff done as fast as possible, which means using what I know.
One thing I often reinvent and reimplement is OAuth. Definitely "Sign in with google" is the best way to add auth to your app, but it's such a pain to set up.
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Paizo: The ORC Alliance Grows
On a side note, you can throw something like water.css , tacit, or MVP.css for quick and easy styling and you just focus on the HTML.
What are some alternatives?
Rustup - The Rust toolchain installer
classless-css - A list of classless CSS themes/frameworks with screenshots
Racer - Rust Code Completion utility
rusty-tags - Create ctags/etags for a cargo project
rust-analyzer - A Rust compiler front-end for IDEs
semantic-rs
artifact - The open source design documentation tool for everybody
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
coc.nvim - Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.
rustfmt - Format Rust code
pico - Minimal CSS Framework for semantic HTML
MIRAI - Rust mid-level IR Abstract Interpreter