Graphene review
A free, code-first Python library with broad API features and self-hosted deployment.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Graphene is an open-source Python library for building GraphQL APIs with a code-first approach. Developers define schemas, types, fields, resolvers, queries, mutations, and subscriptions in Python instead of writing GraphQL SDL directly. It is suited to Python teams building GraphQL services inside their own applications, particularly teams working with Django, Flask, FastAPI, Starlette, SQLAlchemy, or MongoDB.
The library covers a broad set of API capabilities. Its schema types include objects, interfaces, unions, enums, scalars, and mutations, while execution supports queries, mutations, and subscriptions. Relay-compliant API patterns, middleware, dataloading, file uploads, query validation, depth limiting, introspection controls, and a testing client are also included. Integration options extend to Google App Engine and Apollo Federation, giving teams several ways to fit Graphene into an existing Python application or GraphQL architecture.
Graphene is distributed as an MIT-licensed open-source library with a free plan and self-hosted deployment. That model suits teams that want control over where their GraphQL service runs and are comfortable managing the surrounding application environment. Its scope is broader than schema definition alone, but teams prioritizing a verified explorer or extensive code-generation coverage may prefer another Python option. Choose Graphene for Python-first, code-defined APIs with built-in execution, validation, testing, and framework integrations; look elsewhere if a managed service or stronger explorer and code-generation emphasis is central to the buying decision.
Graphene pros and cons
- Where it wins
- Code-first schema definition with broad GraphQL type support
- Supports queries, mutations, subscriptions, Relay, middleware, and dataloading
- Integrates with Django, Flask, FastAPI, Starlette, and data sources
- Where it doesn't
- Self-hosted deployment requires teams to manage their own environment
- Python-focused, limiting its fit for teams using other languages
- Less verified explorer and code-generation coverage than leading Python options
Graphene fact sheet, pricing and score →
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