
Spree Commerce
E-commerce Platform
Medusa
E-commerce PlatformSpree Commerce and Medusa are both popular choices, but they serve different needs. Spree Commerce is a E-commerce Platform with a traditional, manual approach to building, while Medusa 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 Medusa — 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
Medusa is a e-commerce platform with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Medusa-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.
Medusa is an open-source, headless e-commerce platform built for developers and digital commerce teams who need a highly customizable alternative to traditional monolithic storefront solutions. Designed with a modular architecture, Medusa is commonly deployed by technical teams building custom storefronts, multi-region shops, and composable commerce experiences using its Node.js-based backend. AIWebsiteDetector's detection engine identifies Medusa-powered sites using a combination of one distinct HTML pattern and one HTTP header signature that are consistently present across Medusa deployments. These signals reflect Medusa's characteristic server responses and frontend markup conventions, allowing the detection engine to distinguish it reliably from other headless or API-first commerce frameworks. Because Medusa is self-hosted and open-source with no mandatory licensing fees, its deployments vary widely in infrastructure — ranging from cloud platforms like Railway and Render to custom VPS setups — but the core fingerprint remains consistent enough to support confident identification.
Choose Spree Commerce if…
Choose Medusa if…
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