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wilsonpage
fastdom
JavaScript2013–2023
wilsonpage / fastdom

fastdom

Eliminates layout thrashing by batching DOM measurement and mutation tasks

11Distinct people
17Mentions
0Explicit recommenders
6.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Eliminates layout thrashing by batching DOM measurement and mutation tasks

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:45:45 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year17 dated mentions

Observed mentions: 2013-10-03 09:02:37 UTC to 2023-08-03 05:28:13 UTC.

012342013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC211
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC211
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC303
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC211
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC404
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

3 sources
It's not just simple appendChild calls. I actually worked on an app which updated a large table – displaying file metadata, checksums calculated in web workers, etc. for a delivery – and found React to be around 40+ times slower than using the DOM[1] or even simply using innerHTML, getting worse as the number of records increased. The main trap you're falling prey to is the magical thinking which is sadly prevalent about the virtual DOM and batching. Basic application of Amdahl's law tells us that the only way the React approach can be faster is if the overhead of the virtual DOM and framework code is balanced out by being able to do less work. That's true if you're comparing to, say, a primitive JavaScript framework which performs many unnecessary updates (e.g. re-rendering the entire table every time something changes) or if the React a
Read the rest
bstractions allow you to make game-changing optimizations which would be too hard for you to make in regular code. Since you mentioned batching, here's a simple example: it's extremely hard to find a case where a single update will be faster because the combined time to execute a JS framework and make an update is always going to be greater than simply making the update directly. If, however, you're making multiple updates it's easy to hit pathologically bad performance due to layout thrashing[2] when the code performing an update reads something from the DOM which was invalidated by an earlier update, requiring the browser to repeatedly recalculate the layout. That can be avoided in pure JavaScript by carefully structuring the application to avoid that write-read-write cycle or by using a minimalist library like Wilson Page's fastdom[3]. This is quite efficient but can be harder to manage in a large application and that's where React can help by making that kind of structure easier to code. If you are looking for a benchmark where React will perform well, that's the area I'd focus on and do by looking at both the total amount of code and the degree to which performance optimizations interfere with clean separation, testability, etc. EDIT: just to be clear, I'm not saying that it's wrong to use React but that the reasons you do so are the same as why we're not writing desktop apps entirely in assembly: it takes less time to build richer, more maintainable apps. The majority of web apps are not going to be limited by how quickly any framework can update the DOM. 1. I partially reduced that to a smaller testcase in https://gist.github.com/acdha/092c6d79f9ebb888496c which could use more work. For simple testing that was using JSX inline but the actual real application used a separate JSX file compiled following normal React practice. 2. See e.g. http://wilsonpage.co.uk/preventing-layout-thrashing/ 3. https://github.com/wilsonpage/fastdom
In React Performance

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