JS libraries impact React sites

Performance impact by framework provider.

Field data PhoneDesktopAll Scope All sites October 2026 edition · Desktop field outcomes · React sites only
Metric LCP INP CLS
React Scoped to 9,570 sites out of 210,902 analyzed (frameworks) Compare with all sites →
1

At a glance the headline numbers for JS libraries impact

Performance impact by framework provider.

14
Providers ranked
After min-sites filter
14,650
Sites in sample
Combined across all items
60ms
Best INP (p75)
Lodash
The State of Web Vitals · October 2026 · React sites (9,570) · desktop field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by INP at p75, fastest first

# Provider INP p75 Passing Sites
1 Lodash 60ms 98.8%
7,076
2 Owl Carousel 66ms 100.0%
142
3 Flickity 67ms 95.0%
129
4 Moment.js 68ms 99.7%
1,028
5 jQuery 69ms 99.0%
2,648
6 Swiper 72ms 99.1%
1,237
7 Backbone.js 73ms 100.0%
100
8 Lazysizes 78ms 99.2%
510
9 Slick Carousel 78ms 97.6%
343
10 Vue.js 78ms 99.0%
247
11 GSAP 78ms 100.0%
125
12 Lit 79ms 100.0%
309
13 React 93ms 94.8%
494
14 Next.js 132ms 89.6%
262
The State of Web Vitals · October 2026 · React sites (9,570) · desktop field datacorewebvitals.io/state-of-cwv
3

Passing INP per provider which group passes the INP most often

ProviderSitesPassing INPp75
Lit 3.2% 309 100% 79ms
Owl Carousel 1.5% 142 100% 66ms
GSAP 1.3% 125 100% 78ms
Backbone.js 1% 100 100% 73ms
Stimulus/Hotwire 0.1% 8 100% 95ms
Moment.js 10.7% 1,028 100% 68ms
lazysizes 5.3% 510 99% 78ms
Swiper 12.9% 1,237 99% 72ms
jQuery 27.7% 2,648 99% 69ms
Vue.js 2.6% 247 99% 78ms
Lodash 73.9% 7,076 99% 60ms
Slick Carousel 3.6% 343 98% 78ms
Flickity 1.3% 129 95% 67ms
React 5.2% 494 95% 93ms
Next.js 2.7% 262 90% 132ms
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 Lit sites pass INP. Next.js trails 10 points behind. computed

The State of Web Vitals · October 2026 · React sites (9,570) · 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
Lodash 73.9%
812.2s
9960ms
870.04
801.5s
571.5s
jQuery 27.7%
682.8s
9969ms
720.12
632.2s
361.9s
Swiper 12.9%
662.9s
9972ms
760.10
602.4s
332.1s
Moment.js 10.7%
593.1s
10068ms
740.11
542.5s
272.2s
lazysizes 5.3%
702.6s
9978ms
710.13
702.0s
461.7s
React 5.2%
782.2s
9593ms
600.19
791.7s
641.1s
Slick Carousel 3.6%
672.8s
9878ms
580.18
652.3s
461.8s
Lit 3.2%
692.8s
10079ms
740.11
652.1s
441.9s
Next.js 2.7%
782.2s
90132ms
580.18
811.5s
73836ms
Vue.js 2.6%
682.8s
9978ms
640.15
632.2s
282.0s
Owl Carousel 1.5%
553.4s
10066ms
680.16
512.9s
312.6s
Flickity 1.3%
643.1s
9567ms
730.13
522.7s
332.5s
GSAP 1.3%
702.7s
10078ms
780.08
702.0s
261.7s
Backbone.js 1%
633.5s
10073ms
710.12
543.0s
412.2s
Angular 0.1%
Stimulus/Hotwire 0.1%
802.2s
10095ms
600.28
801.4s
60919ms
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.

Moment.js leads on INP: 100% of its sites pass. Next.js trails at 90%. computed

The State of Web Vitals · October 2026 · React sites (9,570) · desktop field datacorewebvitals.io/state-of-cwv
Related signals A/B testing (12) → Personalization (6) → E-commerce (17) → CDN (16) → 210,902 crawled sites with Chrome field data, representing millions of real page loads · How we measured