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Open-source headless commerce platform with GraphQL API
Saleor is an open-source, API-first headless e-commerce platform built with Python and Django. It provides 100% GraphQL API coverage for managing products, orders, payments, and multi-channel commerce, giving development teams full flexibility to build custom storefronts while handling complex backend operations like multi-currency, multi-language, and multi-warehouse fulfillment.
100% API coverage via GraphQL for products, orders, customers, payments, and all commerce operations
Sell across web, mobile, retail, marketplaces, and emerging channels from a single backend
Built-in PIM with product types, attributes, variants, categories, and collections
Full OMS with multi-warehouse fulfillment, returns, refunds, and draft orders
Native internationalization support with automatic currency conversion and content translation
Modern React-based admin dashboard that can be customized and extended with apps
Build custom apps and integrations using the Saleor App SDK for payments, shipping, taxes, and more
Build unique, high-performance storefronts with Next.js, Remix, or any framework using the GraphQL API
Manage commerce across web, mobile apps, POS, and marketplaces from a unified backend
Handle complex B2B requirements like custom pricing, bulk ordering, and multi-warehouse fulfillment
Launch in multiple countries with native multi-currency, tax, and language support
Best for teams that need complete GraphQL API coverage with no gaps — every commerce operation is API-accessible, making it ideal for fully automated, event-driven headless architectures.
Best for teams already invested in the Python/Django ecosystem or those choosing Saleor for its GraphQL API maturity. The metadata approach to review aggregation is clever, but expect significant development effort for a complete review system.
Real-time event system with configurable webhooks for order, product, and customer lifecycle events
Integrate best-of-breed services for payments, search, CMS, and shipping into a MACH architecture

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