
Saleor
E-commerce Platform
Medusa
E-commerce PlatformSaleor and Medusa are both popular choices, but they serve different needs. Saleor 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 Saleor 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 | — | — |
| CDN Detection | — | — |
| Header Detection | 1 headers | 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
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.
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.
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.
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.
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