y-codemirror.next
text-unicode
| y-codemirror.next | text-unicode | |
|---|---|---|
| 1 | 2 | |
| 138 | 69 | |
| 3.6% | - | |
| 4.3 | 0.0 | |
| about 1 month ago | about 2 years ago | |
| JavaScript | TypeScript | |
| GNU General Public License v3.0 or later | - |
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y-codemirror.next
text-unicode
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Ace, CodeMirror, and Monaco: A Comparison of the Code Editors You Use in Browser
We had to handroll our own OT implementation inhouse (based on https://github.com/ottypes/text-unicode) since we had built the system for it already. I suspect we would've used or forked CodeMirror's collab package if we were starting today.
Also huge fan of yjs, but the implementation is not compatible with codemirror 6, only version 5 (AFAIK)
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Accidentally quadratic: When Python is faster than C++
Well said.
I've had a lot of conversations with javascript engineers over the years who've argued to me that well tuned JS will be nearly as fast as the equivalent C code. I've written plenty of little toy benchmarks over the years, and in my experience they're partly right. Well written JS code in V8 can certainly run fast - sometimes around half the speed of C code. But a massive performance gap opens up when you use nontrivial data structures. Nested fields, non-uniform arrays, trees, and so on will all cripple javascript's performance when compared to C's equivalent of simply embedding nested structs. If you couple clean C data structures with allocation-free hot paths from arenas, the performance of C will easily hit 10-20x the performance of the equivalent JS code.
From memory my plain text based operational transform code does ~800k transforms / second in javascript. The equivalent C code does 20M/second. The C implementation is about twice as many lines of code as the JS version though.
(The code in question: https://github.com/ottypes/text-unicode/blob/master/lib/type... / https://github.com/ottypes/libot )
What are some alternatives?
y-codemirror - Yjs CodeMirror Binding
rapidyaml - Rapid YAML - a library to parse and emit YAML, and do it fast.