CoinBLAS VS linaria

When you consider that a graph and a matrix are isomorphic, doing vector matrix multiplication takes a vector with a set value, say row 4, and multiplies it by a matrix where row 4 has values present that represent edges to the nodes that are adjacent to it (ie "adjacency" matrix). The result is a vector with the next "step" in a BFS across the graph, do that in a loop and you step across the whole graph.

A cool result of this is, for example, taking an adjacency matrix and squaring it is the "Friend of a Friend" graph. It takes every node/row and multiplies it by itself, returning a matrix that are adjacent to the adjacencies of each node, ie, the friends (adjacencies of the adjacencies) of friends (adjacencies) of the nodes.

Deeper traversal are just higher nodes, a matrix cubed are the friends of the friends of the friends.

A picture is worth a thousand words, see figure 7 of this paper:

https://arxiv.org/pdf/1606.05790.pdf

Also check out figure 8, this shows how incidence matrices can work to represent hyper and multi graphs. An pair of incidence matrices reprsent two graphs, one from nodes to edges and the other from edges to nodes, these are n by m and m by n. When you multiply them, you get a square adjacency matrix that "projects" the incidence into an adjacency. This can be used to collapse hypergraphs into simple graphs that use different semirings to combine the multiple edges.

For some pretty pictures of this kind of stuff, check out CoinBLAS (note I am not a crypto-bro, it was just a very handy extremely large multi-graph that I could easily download in chunks to play with):

https://github.com/Graphegon/CoinBLAS/

Python wrapper around The GraphBLAS API:

https://github.com/michelp/pygraphblas

For an upcoming paper we've open sourced using pygraphblas to analyse the bitcoin graph using the GAP benchmarks on a server with 1TB of RAM:

https://github.com/Graphegon/CoinBLAS

The code duplication occurred due to disabling the default code splitting algorithm in Next.js. Previous developers used this approach to make Linaria work, which is designed to improve productivity. However, disabling code splitting led to a decrease in performance.

KumaUI : Another relatively new contender, Kuma uses zero runtime CSS-in-JS to create headless UI components which allows a lot of flexibility. It was heavily inspired by other zero runtime CSS-in-JS solutions such as PandaCSS, Vanilla Extract, and Linaria, as well as by Styled System, ChakraUI, and Native Base. ### Vue

I like Linaria [0] because your IDE typechecks your styles and gives you autocomplete/intellisense when typing styles. With Tailwind you have to look everything up in docs because it's all strings, not importable constants. Leads to a lot of bugs from typos that aren't a thing with type checked styles.

[0] https://github.com/callstack/linaria

And if you're wondering why I'm not using something like Linaria or some other runtime-less CSS-in-JS tool, it's simply because I don't want to have to spend my time setting things up and working around stuff and all that jazz. I just want something that works, and I've already got a personal scaffold for getting SC to work out of the box with Next, so, right now, it's either that or sticking to CSS/SCSS/SASS. For me, that is. I know it's such a small thing, but, honestly, one less headache for me is 2 steps forward.

I know that there are solutions that generate static css files (like vanilla-extract or linaria), but neither of them work with app router currently (1, 2).

If you really want tighter interaction with JS, try a zero-runtine solution like linaria

https://github.com/callstack/linaria is objectively the best. It's 100% styled component compatible, but with zero runtime which not only makes it substantially faster, but also makes it easy to do things like server side rendering, etc.

tags inside SFCs are typically injected as native </code> tags during development to support hot updates. <strong>For production they can be extracted and merged into a single CSS file.</strong></p> </blockquote> <p>There are also 3rd party CSS libs that do the same thing such as <a href="https://linaria.dev/">linaria</a>, <a href="https://vanilla-extract.style/">vanilla-extract</a>, and <a href="https://compiledcssinjs.com/">compiled CSS</a>. Which can be used in the event you're stuck with something that doesn't have baked in support via SFC formats (looking at you React).</p> <p>These are my preferred ways of handing it.</p> <ol> <li>Tailwind</li> </ol> <p>Option 2 is tailwind, which works backwards.</p> <p>That is, instead of the above with extraction where you write the styles, and the framework or libs extract them and replace them with class names, it's the other way around.</p> <p>You're writing class names first (which are essentially aggregated CSS property-values) which then generate and/or reference styles.</p> <p>It has the advantage of being easy to write (assuming you've got editor LSP, linting, etc), but as you've discovered, it's difficult to read / can get really messy really fast.</p> <p>As far as all the other claims on the Tailwind site, it's all marketing, at least 80% bullshit.</p> </div>