Frameworks performance

How JavaScript frameworks score across LCP, INP and CLS.

Field data PhoneDesktopAll Scope All sites October 2026 edition · Phone field outcomes
Metric LCP INP CLS FCP TTFB
1

At a glance the headline numbers for Frameworks performance

How JavaScript frameworks score across LCP, INP and CLS.

88.6%
Best: Alpine.js
good LCP
80.2%
Most used: jQuery
good LCP
64.9%
Worst: Angular
good LCP

Alpine.js passes LCP most often of any framework. 88.6% of its sites pass. Angular passes least at 64.9%. jQuery (the most-used framework) sits at 80.2%. The gap is 24 percentage points.

The State of Web Vitals · October 2026 · 210,902 crawled sites · phone field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by LCP at p75, fastest first

# Framework LCP p75 Passing Sites
1 htmx 2.0s 90.1%
301
2 Alpine.js 2.0s 88.6%
2,671
3 React 2.1s 84.2%
9,570
4 Svelte 2.1s 83.5%
467
5 Next.js 2.2s 83.4%
1,832
6 Remix 2.2s 77.8%
53
7 jQuery 2.3s 80.2%
143,509
8 Vue 2.5s 75.5%
12,115
9 Nuxt 2.7s 69.4%
1,309
10 Gatsby 2.9s 62.2%
218
11 Angular 2.9s 64.9%
3,377
The State of Web Vitals · October 2026 · 210,902 crawled sites · phone field datacorewebvitals.io/state-of-cwv
3

Passing LCP per framework which group passes the LCP most often

FrameworkSitesPassing LCPp75
htmx 0.1% 301 90% 2.0s
Alpine.js 1.3% 2,671 89% 2.0s
React 4.6% 9,570 84% 2.1s
Svelte 0.2% 467 84% 2.1s
Next.js 0.9% 1,832 83% 2.2s
jQuery 69.6% 143,509 80% 2.3s
Remix 0% 53 78% 2.2s
Vue 5.9% 12,115 76% 2.5s
Nuxt 0.6% 1,309 69% 2.7s
Angular 1.6% 3,377 65% 2.9s
Gatsby 0.1% 218 62% 2.9s
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good LCP (2.5s at p75) · one value per site

90% of htmx sites pass LCP. Gatsby trails 28 points behind, leaving 38% of its sites failing. computed

The State of Web Vitals · October 2026 · 210,902 crawled sites · phone field datacorewebvitals.io/state-of-cwv
4

All five vitals at once the whole category without toggling - cell is the pass rate, small number the p75

LCP
INP
CLS
FCP
TTFB
jQuery 69.6%
802.3s
95121ms
900.02
721.9s
521.3s
Vue 5.9%
762.5s
92144ms
850.04
692.0s
531.3s
React 4.6%
842.1s
92120ms
920.01
811.6s
681.0s
Angular 1.6%
652.9s
79191ms
580.26
692.0s
77745ms
Alpine.js 1.3%
892.0s
94136ms
920.01
801.7s
551.2s
Next.js 0.9%
832.2s
60268ms
660.18
831.6s
67915ms
Nuxt 0.6%
692.7s
84175ms
720.12
682.0s
611.0s
Svelte 0.2%
842.1s
89153ms
860.05
811.6s
69935ms
htmx 0.1%
902.0s
97130ms
930.01
831.6s
571.1s
Gatsby 0.1%
622.9s
69213ms
670.19
891.5s
77767ms
Remix 0%
782.2s
78191ms
750.10
731.8s
501.2s
60%95%+ passing Cell: pass rate, small number = p75 · faded rows: under 100 sites

One row per framework, one column per vital - the cell is the share of sites passing, the small number the p75. No toggling needed to see where the category actually differs.

htmx leads on LCP: 90% of its sites pass. Gatsby trails at 62%. computed

The State of Web Vitals · October 2026 · 210,902 crawled sites · phone field datacorewebvitals.io/state-of-cwv
5

Why this matters for the Core Web Vitals, and where to start fixing it

A JavaScript framework shapes how much code runs in the browser to put your page on the screen. Some render on the server and ship light; others send a large bundle and rebuild the page on the client, which lands on the main thread and shows up in INP. The framework is not destiny, but its defaults and how you use them decide how much JavaScript the visitor has to pay for.

Start by looking at what ships to the browser and when it runs. Render on the server where you can, split the bundle so each page only loads what it needs, and defer the work that is not required for the first interaction. Framework JavaScript runs on the main thread, so the less of it the browser has to execute, the better INP gets.

How does your framework affect Core Web Vitals?

Among the JavaScript frameworks, htmx reaches a good LCP on 90.1% of sites; Angular on 64.9%.

Related signals CDN (7) → CMS (12) → 210,902 crawled sites with Chrome field data, representing millions of real page loads · How we measured