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
120ms
Best INP (p75)
Owl Carousel
The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
2
The ranking sorted by INP at p75, fastest first
| # | Provider | INP p75 | Passing | Sites | |
|---|---|---|---|---|---|
| 1 | Owl Carousel | 120ms | 95.4% | 4,359 | |
| 2 | jQuery | 121ms | 94.5% | 67,906 | |
| 3 | Stimulus/Hotwire | 122ms | 95.1% | 1,536 | |
| 4 | GSAP | 123ms | 96.7% | 2,573 | |
| 5 | Lodash | 127ms | 92.8% | 13,200 | |
| 6 | Slick Carousel | 128ms | 94.4% | 7,462 | |
| 7 | Flickity | 129ms | 96.1% | 2,891 | |
| 8 | Swiper | 129ms | 94.2% | 15,692 | |
| 9 | Lazysizes | 132ms | 93.3% | 6,844 | |
| 10 | Backbone.js | 135ms | 92.2% | 818 | |
| 11 | Moment.js | 136ms | 91.4% | 4,065 | |
| 12 | Lit | 142ms | 90.1% | 5,243 | |
| 13 | Vue.js | 145ms | 92.4% | 5,677 | |
| 14 | Turbo/Hotwire | 159ms | 88.1% | 258 | |
| 15 | Nuxt | 169ms | 86.3% | 647 | |
| 16 | Ember.js | 189ms | 74.4% | 67 | |
| 17 | Ionic | 194ms | 76.4% | 116 | |
| 18 | Angular | 201ms | 75.0% | 1,036 | |
| 19 | React | 211ms | 72.8% | 235 | |
| 20 | Next.js | 213ms | 71.0% | 2,085 |
The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
3
Passing INP per provider which group passes the INP most often
ProviderSitesPassing INPp75
GSAP 2.7% 2,573 123ms
Flickity 3% 2,891 129ms
Polyfill.io 0% 46 124ms
Owl Carousel 4.6% 4,359 120ms
Stimulus/Hotwire 1.6% 1,536 122ms
jQuery 71.5% 67,906 121ms
Slick Carousel 7.9% 7,462 128ms
Swiper 16.5% 15,692 129ms
lazysizes 7.2% 6,844 132ms
Lodash 13.9% 13,200 127ms
Vue.js 6% 5,677 145ms
Backbone.js 0.9% 818 135ms
Moment.js 4.3% 4,065 136ms
Lit 5.5% 5,243 142ms
Turbo/Hotwire 0.3% 258 159ms
Nuxt.js 0.7% 647 169ms
Ionic 0.1% 116 194ms
Angular 1.1% 1,036 201ms
Ember.js 0.1% 67 189ms
React 0.2% 235 211ms
Marko 0% 12 198ms
Next.js 2.2% 2,085 213ms
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good INP (200ms at p75) · one value per site
97% of GSAP sites pass INP. Next.js trails 26 points behind, leaving 29% 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.
GSAP leads on INP: 97% of its sites pass. Next.js trails at 71%. computed
The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
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Chrome field data from 94,910 sites, representing millions of real page loads. How we measured.