
Spree Commerce
E-commerce Platform
Saleor
E-commerce PlatformSpree Commerce and Saleor are both popular choices, but they serve different needs. Spree Commerce is a E-commerce Platform with a traditional, manual approach to building, while Saleor is a E-commerce Platform that prioritises developer or designer control.
Below you'll find a side-by-side breakdown of detection signals, AI scores, and technical fingerprints — plus our honest take on which builder wins for different use cases.
How we detect Spree Commerce vs Saleor — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | E-commerce Platform | E-commerce Platform |
| AI Score | 20/100 — Traditional | 20/100 — Traditional |
| Detection Signals | 2 patterns | 2 patterns |
| Script Detection | 1 patterns | — |
| CDN Detection | — | — |
| Header Detection | — | 1 headers |
| Sites Detected | No data yet | No data yet |
| Best For | Online stores & product catalogs | Online stores & product catalogs |
| Official Website | — | — |
E-commerce Platform
Spree Commerce is a e-commerce platform with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Spree Commerce-built sites.
E-commerce Platform
Saleor is a e-commerce platform with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Saleor-built sites.
Spree Commerce is an open-source, Ruby on Rails-based e-commerce framework widely adopted by developers and mid-market retailers who need a highly customizable storefront without the constraints of proprietary platforms. Sites built on Spree typically expose identifiable fingerprints in both their rendered HTML and loaded JavaScript assets, and AIWebsiteDetector.com's detection engine leverages exactly these signals — specifically one script pattern tied to Spree's frontend asset pipeline and one HTML pattern commonly found in its default storefront markup. These patterns reflect Spree's convention-driven architecture, where class names, data attributes, and script references follow predictable structures across installations regardless of custom theming. Because Spree is self-hosted and deployed across a wide range of infrastructure providers — from bare-metal VPS setups to cloud platforms like Heroku and AWS — there is no single CDN domain or hosting fingerprint to rely on, making the HTML and script-level signals the most reliable detection vectors. This combination of markup and script analysis allows the tool to identify Spree Commerce deployments with strong confidence even when storefronts have been visually customized.
Saleor is an open-source, headless e-commerce platform built on Python and Django, favored by developers and mid-to-large retailers who require a flexible, API-first storefront architecture. Because Saleor operates as a headless solution, its deployments frequently expose GraphQL API endpoints and characteristic HTML markup that distinguish it from conventional monolithic platforms. AIWebsiteDetector's detection engine identifies Saleor installations using one HTML pattern — typically a meta tag, script reference, or inline attribute embedded in the storefront's rendered markup — alongside one HTTP response header that Saleor-powered backends consistently return. These two signals work in combination to produce reliable identifications across diverse hosting environments, whether sites are deployed on self-managed infrastructure, cloud platforms like AWS or GCP, or through Saleor Cloud, the platform's managed hosting offering. Because Saleor is self-hosted or cloud-agnostic by design, no single CDN fingerprint universally applies, making the HTML and header signals the most dependable indicators for consistent detection.
Choose Spree Commerce if…
Choose Saleor if…
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