Websites using Split
We detect Split on 31 websites, <0.01% of the 12.6 million live sites we have crawled — and 0.02% of the 11,645 most popular, from split.io to clickcease.com.
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Top sites using Split
Full list (31 sites) →Filter by rank and language. Contact pages and e-mails included.
Download a free sample →Sites by version
Major versions detected on the 31 sites. Click a version to get its list.
- 1017 · 54.8%
- 112 · 6.5%
- Unknown12 · 38.7%
Where it is used
From the domain extension, not from where the site is hosted.
Country domains
- Czechia.cz1
Languages
- English
- Dutch
- Chinese
- Portuguese
- Spanish
Split at a glance
We detect Split on 31 websites, <0.01% of the 12.6 million live sites we have crawled. It is the most used of the 6 technologies in the Feature management category. It is more common among the most popular sites: 0.02% of the top 11,645 use it (2), and <0.01% of the top 1.3 million (15). Sites using it often also use Google Tag Manager, jQuery and Amazon CloudFront. Its main alternatives in Feature management are LaunchDarkly, Olvy and FlagSmith. The sites using it are most often in English, followed by Dutch and Chinese.
Most popular sites: domains in the top 10,000 or the top 1 million of at least one public ranking (Tranco, Majestic, Open PageRank).
Split is a feature flag and experimentation platform that helps engineering and product teams safely release new features, run A/B tests, and control feature rollouts. It provides a centralized system for managing feature flags across applications, enabling teams to decouple deployments from releases. Split includes tools for gradual rollouts, targeting specific user segments, and killing problematic features instantly. The platform offers real-time feature flag changes without code deployments and integrates with analytics tools to measure feature impact. It supports multivariate testing, statistical analysis, and collaboration features for product teams. Split is widely used in DevOps and product development for continuous delivery and data-driven decision making.
Counts follow the sites we crawl. Our crawl grew sharply in October 2026, so part of that month's rise reflects coverage, not adoption.
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