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SiYuan as an Outliner?

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Is it (or will it be) possible to use SiYuan as an Outliner app, similar to RemNote?

At first glance, it seems this might be possible if I keep all my content within Lists. However, I'm not sure if this is the intended use for this feature.

I'm also not sure if this could lead to peformance issues. I noticed that there is always a short loading time (a spinning wheel shows for about half a second) whenever I unfold a header or list item in SiYuan. This happens even if there are only a couple of blocks nested within. I also noticed that most docs in the "SiYuan User Guide" Notebook are relatively quite short.

For comparison, I have documents in RemNote that are a few times longer than the entire "SiYuan User Guide", with deeply nested structures, and there are no noticeable lags. This is essential for my workflow, as it allows me to quickly navigate and restructure my notes, with almost zero friction.

Of course, I understand if you're not interested in focusing on outliner features for SiYuan. The app already looks and works great as a note-taking app!

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    forestknows updated this article at 2023-07-07 00:55:46
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    SiYuan as an Outliner?

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    • leolee9086 •

      However, as far as I know, the performance of Siyuan's listBlock should at least not be much worse than specialized outline software (if not better); the main uncertainty lies in how the performance would be at its limit and whether the functionalities fully meet the needs of habitual users of outline note software.

    • MiscReply
    • leolee9086 •

      Actually, I don't use the list function very often. I usually only use it when creating outlines. As for performance testing, I have only done it for normal document formats, and most devices should not experience lag when reading Chinese novels with over one million characters (except for possibly taking a moment to import). I will try to find familiar users who can speak about the performance of lists.

    • zxhd86 •

      It depends on how you use Siyuan.

      • Extreme support for Siyuan outline note mode

        • Simple node

          *Node example

          • * 111111111111111111111111111111111111111111
          • A single node with 400 child nodes will not be stuck. (simple node)
          • Each node has 200 child nodes, a total of 20,000 nodes, and there will be no lag when using folding and focus (simple nodes)

        • Complex math nodes

          *Node example

          \begin{aligned}\lim_{x\to0}\frac{1-\cos(x)}{x}&=\lim_{x\to0}\frac{1-\cos(x)}{x}\times\frac{1+\cos(x)}{1+\cos(x)}.\\&=\lim_{x\to0}\frac{1-\cos^2(x)}{x}\times\frac{1}{1+\cos(x)}=\lim_{x\to0}\frac{\sin^2(x)}{x}\times\frac{1}{1+\cos(x)}.\end{aligned}
          • There will be no lag in 13 complex mathematical nodes in a single node. (logseq is 52)
          • 13 complex math nodes per node, 117 complex math nodes in total, no lag when using folding and focusing (logseq folding will not render, almost equivalent to plain text nodes)

        • Conclusion: Siyuan performs well when it contains only plain text nodes, that is, nodes that do not need to be rendered, and can completely replace outline notes. But if complex, rendering-requiring nodes are used, such as math blocks, then performance drops dramatically and it cannot compete with real outline notes.

    • Nhan • • 1 Comment

      Hi @leolee9086 , I know you're both a long time and a power user of SiYuan and you migrated over from Obsidian, a very performant app (Yes, I understand it's not an outliner, just talking about performance here in general). Could you give some impression on the speed of SiYuan?

      Also when you @forestknows say you "keep all my content within Lists", you mean you have a giant list and everything is just a bullet in that list and you just zoom in and zoom out as needed? I can see that would create a giant document in SiYuan and can be an issue.

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      Nhan updated this reply at 2023-07-07 02:09:03
      Nhan updated this reply at 2023-07-07 02:08:56
      Nhan updated this reply at 2023-07-07 02:08:43
      Sorry, pinging @leolee9086 again because when I posted I messed it up.
      Nhan •
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