django-ninja-aio-crud 2.29.0

Django Ninja AIO CRUD - Rest Framework

Async CRUD framework for Django Ninja
Automatic schema generation · Filtering · Pagination · Auth · M2M management

Documentation · PyPI · Framework Comparison · Performance Benchmarks · Example Project · Issues

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Features

	Feature	Description
🔒 Type Safety	Generic classes	Full IDE autocomplete and type checking with generic ModelUtil, Serializer, and APIViewSet
Meta-driven Serializer	Dynamic schemas	Generate CRUD schemas for existing Django models without changing base classes
Async CRUD ViewSets	Full operations	Create, list, retrieve, update, delete — all async
Auto Schemas	Pydantic generation	Automatic read/create/update schemas from ModelSerializer
Dynamic Query Params	Runtime schemas	Built with pydantic.create_model for flexible filtering
Per-method Auth	Granular control	auth, get_auth, post_auth, etc.
Async Pagination	Customizable	PageNumberPagination, CursorPagination, or custom — DB-level slicing
M2M Relations	Add/remove/list	Endpoints via M2MRelationSchema with filtering support
Reverse Relations	Nested serialization	Automatic handling of reverse FK and M2M
Bulk Operations	Create/update/delete	Opt-in bulk endpoints with partial success semantics and configurable response fields
Custom Actions	@action decorator	Detail and list actions with auth inheritance, custom decorators, and auto URL generation
Lifecycle Hooks	Extensible	before_save, after_save, custom_actions, on_delete, and more
Schema Validators	Pydantic validators	@field_validator and @model_validator on serializer classes
ORJSON Renderer	Performance	Built-in fast JSON rendering via NinjaAIO

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Quick Start

Option A: Meta-driven Serializer (existing models)

Use this if you already have Django models and don't want to change their base class.

from ninja_aio.models import serializers
from ninja_aio.views import APIViewSet
from ninja_aio import NinjaAIO
from . import models

class BookSerializer(serializers.Serializer):
    class Meta:
        model = models.Book
        schema_in = serializers.SchemaModelConfig(fields=["title", "published"])
        schema_out = serializers.SchemaModelConfig(fields=["id", "title", "published"])
        schema_update = serializers.SchemaModelConfig(
            optionals=[("title", str), ("published", bool)]
        )

api = NinjaAIO()

@api.viewset(models.Book)
class BookViewSet(APIViewSet):
    serializer_class = BookSerializer

Option B: ModelSerializer (new projects)

Define models with built-in serialization for minimal boilerplate.

models.py

from django.db import models
from ninja_aio.models import ModelSerializer

class Book(ModelSerializer):
    title = models.CharField(max_length=120)
    published = models.BooleanField(default=True)

    class ReadSerializer:
        fields = ["id", "title", "published"]

    class CreateSerializer:
        fields = ["title", "published"]

    class UpdateSerializer:
        optionals = [("title", str), ("published", bool)]

views.py

from ninja_aio import NinjaAIO
from ninja_aio.views import APIViewSet
from .models import Book

api = NinjaAIO()

@api.viewset(Book)
class BookViewSet(APIViewSet):
    pass

Visit /docs — CRUD endpoints ready.

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Query Filtering

@api.viewset(Book)
class BookViewSet(APIViewSet):
    query_params = {"published": (bool, None), "title": (str, None)}

    async def query_params_handler(self, queryset, filters):
        if filters.get("published") is not None:
            queryset = queryset.filter(published=filters["published"])
        if filters.get("title"):
            queryset = queryset.filter(title__icontains=filters["title"])
        return queryset

GET /book/?published=true&title=python

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Many-to-Many Relations

from ninja_aio.schemas import M2MRelationSchema

class Tag(ModelSerializer):
    name = models.CharField(max_length=50)
    class ReadSerializer:
        fields = ["id", "name"]

class Article(ModelSerializer):
    title = models.CharField(max_length=120)
    tags = models.ManyToManyField(Tag, related_name="articles")
    class ReadSerializer:
        fields = ["id", "title", "tags"]

@api.viewset(Article)
class ArticleViewSet(APIViewSet):
    m2m_relations = [
        M2MRelationSchema(
            model=Tag,
            related_name="tags",
            filters={"name": (str, "")}
        )
    ]

    async def tags_query_params_handler(self, queryset, filters):
        n = filters.get("name")
        if n:
            queryset = queryset.filter(name__icontains=n)
        return queryset

Endpoints:

GET  /article/{pk}/tag?name=dev
POST /article/{pk}/tag/    body: {"add": [1, 2], "remove": [3]}

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Authentication (JWT)

from ninja_aio.auth import AsyncJwtBearer
from joserfc import jwk

class JWTAuth(AsyncJwtBearer):
    jwt_public = jwk.RSAKey.import_key("-----BEGIN PUBLIC KEY----- ...")
    jwt_alg = "RS256"
    claims = {"sub": {"essential": True}}

    async def auth_handler(self, request):
        book_id = self.dcd.claims.get("sub")
        return await Book.objects.aget(id=book_id)

@api.viewset(Book)
class SecureBookViewSet(APIViewSet):
    auth = [JWTAuth()]
    get_auth = None  # list/retrieve remain public

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Lifecycle Hooks

Available on every save/delete cycle:

Hook	When
on_create_before_save	Before first save
on_create_after_save	After first save
before_save	Before any save
after_save	After any save
on_delete	After deletion
custom_actions(payload)	Create/update custom field logic
post_create()	After create commit

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Custom Endpoints

Option A: @action Decorator (recommended)

from ninja import Schema, Status
from ninja_aio.decorators import action

class StatsSchema(Schema):
    total: int

@api.viewset(Book)
class BookViewSet(APIViewSet):
    @action(detail=False, methods=["get"], url_path="stats", response=StatsSchema)
    async def stats(self, request):
        total = await Book.objects.acount()
        return {"total": total}

    @action(detail=True, methods=["post"], url_path="publish")
    async def publish(self, request, pk):
        book = await self.model_util.get_object(request, pk)
        book.published = True
        await book.asave()
        return Status(200, {"message": "published"})

GET  /book/stats/       → {"total": 42}
POST /book/{pk}/publish/ → {"message": "published"}

Option B: operations Decorators

from ninja_aio.decorators import api_get

@api.viewset(Book)
class BookViewSet(APIViewSet):
    @api_get("/stats/")
    async def stats(self, request):
        total = await Book.objects.acount()
        return {"total": total}

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Bulk Operations

@api.viewset(Book)
class BookViewSet(APIViewSet):
    bulk_operations = ["create", "update", "delete"]
    bulk_response_fields = "title"  # Optional: return titles instead of PKs

POST   /book/bulk/  body: [{...}, {...}]         → {"success": {"count": 2, "details": ["Book 1", "Book 2"]}}
PATCH  /book/bulk/  body: [{id, ...}, {id, ...}] → {"success": {"count": 2, "details": ["Updated 1", "Updated 2"]}}
DELETE /book/bulk/  body: {"ids": [1, 2]}         → {"success": {"count": 2, "details": ["Book 1", "Book 2"]}}

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Pagination

Default: PageNumberPagination. Override per ViewSet:

from ninja.pagination import PageNumberPagination, CursorPagination

class LargePagination(PageNumberPagination):
    page_size = 50
    max_page_size = 200

@api.viewset(Book)
class BookViewSet(APIViewSet):
    pagination_class = LargePagination
    # Or use cursor-based pagination for large datasets:
    # pagination_class = CursorPagination

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Schema Validators

Add Pydantic @field_validator and @model_validator directly on serializer classes for input validation.

ModelSerializer

Declare validators on inner serializer classes:

from django.db import models
from pydantic import field_validator, model_validator
from ninja_aio.models import ModelSerializer

class Book(ModelSerializer):
    title = models.CharField(max_length=120)
    description = models.TextField(blank=True)

    class CreateSerializer:
        fields = ["title", "description"]

        @field_validator("title")
        @classmethod
        def validate_title_min_length(cls, v):
            if len(v) < 3:
                raise ValueError("Title must be at least 3 characters")
            return v

    class UpdateSerializer:
        optionals = [("title", str), ("description", str)]

        @field_validator("title")
        @classmethod
        def validate_title_not_empty(cls, v):
            if v is not None and len(v.strip()) == 0:
                raise ValueError("Title cannot be blank")
            return v

    class ReadSerializer:
        fields = ["id", "title", "description"]

        @model_validator(mode="after")
        def enrich_output(self):
            # Transform or enrich the output schema
            return self

Meta-driven Serializer

Use dedicated {Type}Validators inner classes:

from pydantic import field_validator, model_validator
from ninja_aio.models import serializers
from . import models

class BookSerializer(serializers.Serializer):
    class Meta:
        model = models.Book
        schema_in = serializers.SchemaModelConfig(fields=["title", "description"])
        schema_out = serializers.SchemaModelConfig(fields=["id", "title", "description"])
        schema_update = serializers.SchemaModelConfig(
            optionals=[("title", str), ("description", str)]
        )

    class CreateValidators:
        @field_validator("title")
        @classmethod
        def validate_title_min_length(cls, v):
            if len(v) < 3:
                raise ValueError("Title must be at least 3 characters")
            return v

    class UpdateValidators:
        @field_validator("title")
        @classmethod
        def validate_title_not_empty(cls, v):
            if v is not None and len(v.strip()) == 0:
                raise ValueError("Title cannot be blank")
            return v

    class ReadValidators:
        @model_validator(mode="after")
        def enrich_output(self):
            return self

Validator class mapping:

Schema type	ModelSerializer	Serializer (Meta-driven)
Create	CreateSerializer	CreateValidators
Update	UpdateSerializer	UpdateValidators
Read	ReadSerializer	ReadValidators
Detail	DetailSerializer	DetailValidators

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Disable Operations

@api.viewset(Book)
class ReadOnlyBookViewSet(APIViewSet):
    disable = ["update", "delete"]

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Framework Comparison

How does Django Ninja AIO compare to other Python REST frameworks? We benchmark against Django Ninja, ADRF, and FastAPI — focusing on complex async operations like reverse FK and M2M serialization.

Framework	Lines of Code	Reverse FK Handling	Auto Prefetch	CRUD Automation
Django Ninja AIO	~20	Automatic	Yes	Full
FastAPI	~80+	Manual async iteration	No	None
ADRF	~45+	Needs serializer config	Manual	Partial

View Full Comparison — Code examples, benchmark results, and interactive charts

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Performance

View live benchmarks tracking schema generation, serialization, and CRUD throughput:

Live Performance Report — Interactive charts with historical trends

Performance Tips

• Use queryset_request classmethod to select_related / prefetch_related
• Index frequently filtered fields
• Keep pagination enabled for large datasets
• Limit slices (queryset = queryset[:1000]) for heavy searches

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Contributing

1. Fork the repository
2. Create a feature branch
3. Add tests for your changes
4. Run lint: ruff check .
5. Open a Pull Request

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Support

If you find this project useful, consider giving it a star or supporting development:

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License

MIT License. See LICENSE.