graphene-pydantic
Graphene Pydantic integration
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive license, and solves a real problem for teams already using Pydantic. It supports current Python versions (3.8–3.12) and has no known vulnerabilities. Install it if you're building GraphQL APIs on top of existing Pydantic models and want to avoid duplicating type definitions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with only two runtime dependencies (graphene and pydantic).
- Actively maintained with recent commits; last release was in February 2024.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use this package freely in commercial and open-source projects with minimal restrictions.
last release 2024-02-01 (925 days) · last repo commit 2026-05-22 · 249 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 501,910 downloads/mo, #6,312 on PyPI
Alternatives
Verify before relying
pip install graphene-pydantic
import pydantic
from graphene_pydantic import PydanticObjectType
import graphene
class PersonModel(pydantic.BaseModel):
name: str
class Person(PydanticObjectType):
class Meta:
model = PersonModel
class Query(graphene.ObjectType):
people = graphene.List(Person)
schema = graphene.Schema(query=Query)- Whether the package handles all Pydantic field types (e.g., custom validators, computed fields) without manual workarounds.
- Performance characteristics when converting large or deeply nested Pydantic models to GraphQL schemas.
- Compatibility with recent versions of graphene and pydantic beyond the classifiers listed.
What it is and what it does
graphene-pydantic is a bridge between Pydantic and Graphene that lets you define GraphQL schemas directly from your Pydantic models. Instead of writing separate GraphQL type definitions, you annotate your Pydantic model and wrap it in a PydanticObjectType or PydanticInputObjectType, and the package generates the corresponding GraphQL types automatically. This is useful when you already have Pydantic models for validation and want to expose them via GraphQL without duplicating type definitions.
The package supports both output types (for queries) and input types (for mutations), field exclusion, custom resolve functions, and forward declarations with circular references. It inherits from Graphene's ObjectType, so you can extend generated types with custom fields and resolvers. Known limitations include inability to handle GraphQL-incompatible Pydantic fields like mappings (dictionaries) and some caveats around union types and Python version compatibility.
Use it for
- Build a GraphQL API from existing Pydantic models without redefining types in Graphene.
- Create GraphQL input types for mutations that accept Pydantic model data.
- Extend auto-generated GraphQL types with custom resolve functions for computed fields.
- Rapidly prototype GraphQL services where Pydantic validation and GraphQL schema are kept in sync.
- Handle forward declarations and circular model references in GraphQL schemas.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive license, and solves a real problem for teams already using Pydantic. It supports current Python versions (3.8–3.12) and has no known vulnerabilities. Install it if you're building GraphQL APIs on top of existing Pydantic models and want to avoid duplicating type definitions.
Install
graphene-pydantic on PyPI
Before you install
Low friction: pure Python wheel with only two runtime dependencies (graphene and pydantic). Actively maintained with recent commits; last release was in February 2024.
License in practice
Apache-2.0 is permissive; you can use this package freely in commercial and open-source projects with minimal restrictions.
Quickstart
pip install graphene-pydantic
import pydantic
from graphene_pydantic import PydanticObjectType
import graphene
class PersonModel(pydantic.BaseModel):
name: str
class Person(PydanticObjectType):
class Meta:
model = PersonModel
class Query(graphene.ObjectType):
people = graphene.List(Person)
schema = graphene.Schema(query=Query)Verify before relying
- Whether the package handles all Pydantic field types (e.g., custom validators, computed fields) without manual workarounds.
- Performance characteristics when converting large or deeply nested Pydantic models to GraphQL schemas.
- Compatibility with recent versions of graphene and pydantic beyond the classifiers listed.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesgraphenepydantic |
| Maintenance | Actively maintained 925 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 501,910 / month, #6,312 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: Libraries |
Evidence: graphene_pydantic-0.6.1-py3-none-any.whl
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See also graphene-sqlalchemy · graphene · sparkdantic · graphene-django · pydantic-to-pyarrow · graphql-query · datamodel-code-generator · pydantic-factories · starlette-graphene3 · graphene-file-upload