JS libraries impact

Performance impact by framework provider.

Field data PhoneDesktopAll Scope All sites Q1 2026 edition · Phone 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
1.7s
Best LCP (p75)
Turbo/Hotwire
The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by LCP at p75, fastest first

# Provider LCP p75 Passing Sites
1 Turbo/Hotwire 1.7s 93.0%
258
2 Stimulus/Hotwire 2.1s 87.6%
1,536
3 Slick Carousel 2.2s 81.2%
7,462
4 jQuery 2.3s 80.5%
67,906
5 Flickity 2.3s 80.5%
2,891
6 Next.js 2.3s 79.6%
2,085
7 Owl Carousel 2.3s 79.9%
4,359
8 React 2.3s 80.7%
235
9 Lodash 2.3s 78.3%
13,200
10 Lazysizes 2.4s 78.9%
6,844
11 Vue.js 2.4s 77.0%
5,677
12 Moment.js 2.5s 75.7%
4,065
13 Swiper 2.5s 75.0%
15,692
14 Lit 2.5s 75.0%
5,243
15 GSAP 2.6s 72.2%
2,573
16 Nuxt 2.7s 70.1%
647
17 Ember.js 2.7s 71.1%
67
18 Backbone.js 2.9s 67.4%
818
19 Angular 3.1s 57.3%
1,036
20 Ionic 4.2s 36.3%
116
The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
3

Passing LCP per provider which group passes the LCP most often

ProviderSitesPassing LCPp75
Turbo/Hotwire 0.3% 258 93% 1.7s
Polyfill.io 0% 46 93% 2.0s
Stimulus/Hotwire 1.6% 1,536 88% 2.1s
Slick Carousel 7.9% 7,462 81% 2.2s
React 0.2% 235 81% 2.3s
jQuery 71.5% 67,906 81% 2.3s
Flickity 3% 2,891 81% 2.3s
Owl Carousel 4.6% 4,359 80% 2.3s
Next.js 2.2% 2,085 80% 2.3s
lazysizes 7.2% 6,844 79% 2.4s
Lodash 13.9% 13,200 78% 2.3s
Vue.js 6% 5,677 77% 2.4s
Moment.js 4.3% 4,065 76% 2.5s
Swiper 16.5% 15,692 75% 2.5s
Lit 5.5% 5,243 75% 2.5s
GSAP 2.7% 2,573 72% 2.6s
Ember.js 0.1% 67 71% 2.7s
Nuxt.js 0.7% 647 70% 2.7s
Backbone.js 0.9% 818 67% 2.9s
Angular 1.1% 1,036 57% 3.1s
Marko 0% 12 55% 2.8s
Ionic 0.1% 116 36% 4.2s
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

93% of Turbo/Hotwire sites pass LCP. Ionic trails 57 points behind, leaving 64% of its sites failing. computed

The State of Web Vitals · Q1 2026 · 94,910 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 71.5%
812.3s
95121ms
900.02
731.9s
521.3s
Swiper 16.5%
752.5s
94129ms
890.02
682.1s
471.5s
Lodash 13.9%
782.3s
93127ms
870.02
721.9s
601.2s
Slick Carousel 7.9%
812.2s
94128ms
870.03
751.8s
541.2s
lazysizes 7.2%
792.4s
93132ms
880.03
731.9s
531.3s
Vue.js 6%
772.4s
92145ms
840.04
711.9s
531.3s
Lit 5.5%
752.5s
90142ms
840.04
702.0s
571.2s
Owl Carousel 4.6%
802.3s
95120ms
840.05
741.8s
501.3s
Moment.js 4.3%
762.5s
91136ms
850.04
702.0s
531.3s
Flickity 3%
812.3s
96129ms
920.01
741.8s
581.2s
GSAP 2.7%
722.6s
97123ms
900.02
662.1s
451.6s
Next.js 2.2%
802.3s
71213ms
770.09
801.7s
71856ms
Stimulus/Hotwire 1.6%
882.1s
95122ms
910.02
841.5s
77768ms
Angular 1.1%
573.1s
75201ms
510.32
642.1s
81694ms
Backbone.js 0.9%
672.9s
92135ms
830.04
592.3s
411.6s
Nuxt.js 0.7%
702.7s
86169ms
730.12
691.9s
591.0s
Turbo/Hotwire 0.3%
931.7s
88159ms
940.01
871.3s
79770ms
React 0.2%
812.3s
73211ms
720.15
721.8s
471.3s
Ionic 0.1%
364.2s
76194ms
540.27
382.9s
70985ms
Ember.js 0.1%
712.7s
74189ms
690.17
652.1s
76779ms
Polyfill.io 0%
932.0s
96124ms
820.01
821.7s
681.0s
Marko 0%
552.8s
73198ms
1000.02
272.4s
91.8s
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.

Turbo/Hotwire leads on LCP: 93% of its sites pass. Ionic trails at 36%. computed

The State of Web Vitals · Q1 2026 · 94,910 sites · phone 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