JS libraries impact

Performance impact by framework provider.

Field data PhoneDesktopAll Scope All sites Q1 2026 edition · Desktop field outcomes
Metric LCP INP CLS
1

At a glance the headline numbers for JS libraries impact

Performance impact by framework provider.

20
Providers ranked
After min-sites filter
142,710
Sites in sample
Combined across all items
62ms
Best INP (p75)
jQuery
The State of Web Vitals · Q1 2026 · 94,910 sites · desktop field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by INP at p75, fastest first

# Provider INP p75 Passing Sites
1 jQuery 62ms 99.4%
67,906
2 Owl Carousel 62ms 99.4%
4,359
3 Slick Carousel 64ms 99.1%
7,462
4 GSAP 65ms 99.5%
2,573
5 Moment.js 66ms 99.1%
4,065
6 Lazysizes 67ms 99.3%
6,844
7 Flickity 67ms 99.6%
2,891
8 Swiper 67ms 99.2%
15,692
9 Backbone.js 67ms 98.9%
818
10 Lodash 69ms 98.1%
13,200
11 Stimulus/Hotwire 69ms 99.3%
1,536
12 Lit 75ms 98.6%
5,243
13 Vue.js 76ms 99.0%
5,677
14 Turbo/Hotwire 80ms 99.1%
258
15 Ember.js 82ms 97.3%
67
16 Nuxt 100ms 98.3%
647
17 Ionic 106ms 94.3%
116
18 Next.js 106ms 95.1%
2,085
19 Angular 111ms 97.1%
1,036
20 React 111ms 90.9%
235
The State of Web Vitals · Q1 2026 · 94,910 sites · desktop field datacorewebvitals.io/state-of-cwv
3

Passing INP per provider which group passes the INP most often

ProviderSitesPassing INPp75
Marko 0% 12 100% 71ms
Polyfill.io 0% 46 100% 74ms
Flickity 3% 2,891 100% 67ms
GSAP 2.7% 2,573 100% 65ms
Owl Carousel 4.6% 4,359 99% 62ms
jQuery 71.5% 67,906 99% 62ms
Stimulus/Hotwire 1.6% 1,536 99% 69ms
lazysizes 7.2% 6,844 99% 67ms
Swiper 16.5% 15,692 99% 67ms
Moment.js 4.3% 4,065 99% 66ms
Slick Carousel 7.9% 7,462 99% 64ms
Turbo/Hotwire 0.3% 258 99% 80ms
Vue.js 6% 5,677 99% 76ms
Backbone.js 0.9% 818 99% 67ms
Lit 5.5% 5,243 99% 75ms
Nuxt.js 0.7% 647 98% 100ms
Lodash 13.9% 13,200 98% 69ms
Ember.js 0.1% 67 97% 82ms
Angular 1.1% 1,036 97% 111ms
Next.js 2.2% 2,085 95% 106ms
Ionic 0.1% 116 94% 106ms
React 0.2% 235 91% 111ms
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good INP (200ms at p75) · one value per site

100% of Flickity sites pass INP. React trails 9 points behind. computed

The State of Web Vitals · Q1 2026 · 94,910 sites · desktop 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 71.5%
852.0s
9962ms
780.09
801.6s
571.2s
Swiper 16.5%
822.2s
9967ms
790.09
771.7s
521.4s
Lodash 13.9%
782.4s
9869ms
720.12
731.9s
511.4s
Slick Carousel 7.9%
862.0s
9964ms
720.12
811.6s
551.2s
lazysizes 7.2%
862.1s
9967ms
760.10
811.6s
571.2s
Vue.js 6%
832.1s
9976ms
720.12
811.6s
611.1s
Lit 5.5%
842.1s
9975ms
740.11
811.6s
641.0s
Owl Carousel 4.6%
842.1s
9962ms
690.13
801.6s
521.3s
Moment.js 4.3%
802.2s
9966ms
720.12
761.7s
571.3s
Flickity 3%
882.0s
10067ms
820.07
841.5s
651.1s
GSAP 2.7%
792.3s
10065ms
820.08
761.7s
521.4s
Next.js 2.2%
862.0s
95106ms
750.10
881.4s
76773ms
Stimulus/Hotwire 1.6%
941.8s
9969ms
840.08
921.3s
81706ms
Angular 1.1%
702.7s
97111ms
440.33
791.7s
85539ms
Backbone.js 0.9%
742.5s
9967ms
720.13
682.0s
461.5s
Nuxt.js 0.7%
762.5s
98100ms
650.16
781.7s
641.0s
Turbo/Hotwire 0.3%
961.4s
9980ms
930.03
931.1s
83692ms
React 0.2%
812.1s
91111ms
590.19
841.6s
651.1s
Ionic 0.1%
613.1s
94106ms
680.12
582.2s
671.3s
Ember.js 0.1%
802.3s
9782ms
720.15
731.9s
68945ms
Polyfill.io 0%
782.1s
10074ms
790.09
841.4s
69889ms
Marko 0%
912.2s
10071ms
1000.01
551.9s
01.5s
60%95%+ passing Cell: pass rate, small number = p75 · faded rows: under 100 sites

One row per provider, 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.

Flickity leads on INP: 100% of its sites pass. React trails at 91%. computed

The State of Web Vitals · Q1 2026 · 94,910 sites · desktop field datacorewebvitals.io/state-of-cwv
Related signals A/B testing (10) → Personalization (5) → E-commerce (14) → CDN (15) → Chrome field data from 94,910 sites, representing millions of real page loads · How we measured