django-filter
Django filtering library for dynamically filtering querysets, with full Django REST Framework integration.
Overview
django-filter provides a declarative way to filter querysets based on URL query parameters.
- Declarative - Define filters as Python classes
- DRF Integration - Seamless Django REST Framework support
- Flexible - Custom filter backends and fields
- Auto-generation - FilterSet from Django models
Installation
pip install django-filter
# With DRF support
pip install django-filter djangorestframework
Add to INSTALLED_APPS:
INSTALLED_APPS = [
# ...
'django_filters',
]
Basic Usage
Django 6.0 Breaking Change
fields requires explicit __all__:
class UserFilter(FilterSet):
class Meta:
model = User
fields = '__all__' # Must be string, not list
Using fields = [] or fields = ['field1', 'field2'] without __all__ will raise an error in Django 6.0+
FilterSet Class
# filters.py
import django_filters
from .models import Product
class ProductFilter(django_filters.FilterSet):
# Exact match
category = django_filters.NumberFilter(field_name='category_id')
# Lookup expressions (icontains, exact, gt, gte, lt, lte, contains, in)
name = django_filters.CharFilter(field_name='name', lookup_expr='icontains')
price_min = django_filters.NumberFilter(field_name='price', lookup_expr='gte')
price_max = django_filters.NumberFilter(field_name='price', lookup_expr='lte')
# Boolean filter
in_stock = django_filters.BooleanFilter(field_name='stock', lookup_expr='gt', method='filter_in_stock')
# Date filters
created_after = django_filters.DateFilter(field_name='created_at', lookup_expr='gte')
created_before = django_filters.DateFilter(field_name='created_at', lookup_expr='lte')
# Multiple selection (comma-separated)
categories = django_filters.CharFilter(field_name='category_id', lookup_expr='in')
# Ordering filter
order_by = django_filters.OrderingFilter(
fields=['price', 'created_at', 'name'],
field_labels={'price': 'Price', 'created_at': 'Date'}
)
class Meta:
model = Product
# Django 6.0+: Use '__all__' string or explicit field list
fields = '__all__' # or ['category', 'name', 'price', ...]
def filter_in_stock(self, queryset, name, value):
"""Custom filter method for in_stock."""
if value:
return queryset.filter(stock__gt=0)
return queryset.filter(stock=0)
FilterSet with ModelForm
# Auto-generate filters from model fields
class ProductFilter(django_filters.FilterSet):
class Meta:
model = Product
fields = ['name', 'category', 'price', 'is_active', 'stock']
Django REST Framework Integration
ViewSet Integration
# views.py
from rest_framework import viewsets
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters
from .models import Product
from .serializers import ProductSerializer
from .filters import ProductFilter
class ProductViewSet(viewsets.ModelViewSet):
queryset = Product.objects.all()
serializer_class = ProductSerializer
# Filter backends
filter_backends = [
DjangoFilterBackend,
filters.SearchFilter,
filters.OrderingFilter
]
# Filterset class
filterset_class = ProductFilter
# Or inline filterset_fields
filter_fields = ['category', 'is_active']
# Search configuration
search_fields = ['name', 'description', 'category__name']
# Ordering fields
ordering_fields = ['price', 'created_at', 'name']
ordering = ['-created_at']
APIView Integration
# views.py
from rest_framework.views import APIView
from rest_framework.response import Response
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters
from .models import Product
from .serializers import ProductSerializer
from .filters import ProductFilter
class ProductListView(APIView):
def get(self, request):
queryset = Product.objects.all()
# Apply filters manually
filter_backend = DjangoFilterBackend()
queryset = filter_backend.filter_queryset(request, queryset, self)
serializer = ProductSerializer(queryset, many=True)
return Response(serializer.data)
Filter Types Reference
NumberFilter
price = django_filters.NumberFilter()
price_gt = django_filters.NumberFilter(field_name='price', lookup_expr='gt')
price_range = django_filters.RangeFilter(field_name='price')
CharFilter
name = django_filters.CharFilter(lookup_expr='icontains')
description = django_filters.CharFilter(lookup_expr='contains')
DateFilter / DateTimeFilter
created = django_filters.DateFilter()
created_after = django_filters.DateTimeFilter(field_name='created_at', lookup_expr='gte')
BooleanFilter
is_active = django_filters.BooleanFilter()
is_featured = django_filters.BooleanFilter(field_name='is_featured', distinct=False)
ModelChoiceFilter / ModelMultipleChoiceFilter
category = django_filters.ModelChoiceFilter(
queryset=Category.objects.all(),
empty_label='All Categories'
)
tags = django_filters.ModelMultipleChoiceFilter(
queryset=Tag.objects.all(),
conjoined=True # AND vs OR behavior
)
ChoiceFilter
status = django_filters.ChoiceFilter(
choices=Product.STATUS_CHOICES,
empty_label=None
)
UUIDFilter
id = django_filters.UUIDFilter(field_name='id')
AllValuesFilter / AllValuesMultipleFilter
# Dropdown with all possible values
category = django_filters.AllValuesFilter(field_name='category_id')
DateFromToRangeFilter
date_range = django_filters.DateFromToRangeFilter(field_name='created_at')
TimeFromToRangeFilter
time_range = django_filters.TimeFromToRangeFilter(field_name='created_at')
DateTimeFromToRangeFilter
datetime_range = django_filters.DateTimeFromToRangeFilter(field_name='created_at')
NumberRangeFilter
price_range = django_filters.NumberRangeFilter(field_name='price')
Custom Filter Methods
Method Filter with Request Context
class ProductFilter(django_filters.FilterSet):
# Access request in filter method
category = django_filters.NumberFilter(method='filter_by_category')
class Meta:
model = Product
fields = ['category']
def filter_by_category(self, queryset, name, value):
# Access request, user, etc. via self.request
user = self.request.user
if user.is_premium:
return queryset.filter(category_id=value)
return queryset.filter(category_id=value, category__is_premium=False)
Filter with Multiple Fields
class ProductFilter(django_filters.FilterSet):
price_min = django_filters.NumberFilter(field_name='price', lookup_expr='gte')
price_max = django_filters.NumberFilter(field_name='price', lookup_expr='lte')
min_max_price = django_filters.NumberFilter(method='filter_price_range')
def filter_price_range(self, queryset, name, value):
# Handle custom filter logic
return queryset.filter(price__gte=value)
Composable QuerySet Methods (FilterSet Alternative)
When filtering is driven by code paths rather than user-supplied query params,
define a custom QuerySet with one method per WHERE clause. The view reads
like a sentence, and each method is independently testable.
from django.db import models
class EventQuerySet(models.QuerySet):
def approved(self):
return self.filter(approved_at__isnull=False)
def future(self):
today = timezone.localdate()
return self.filter(end__gt=self._midnight(today))
def with_tags(self, tags):
if not tags:
return self
return self.filter(tags__name__in=tags).distinct()
def is_free(self, free):
if free is None:
return self
return self.filter(price=0) if free else self
class Event(models.Model):
objects = EventQuerySet.as_manager()
# ...
Usage in a view — each method returns a queryset, so they chain naturally:
def event_list(request, tab):
qs = (
Event.objects.approved()
.for_tab(tab)
.with_festivals(tab_params.festival_slugs)
.is_free(tab_params.free)
)
return render(request, 'events/list.html', {'events': qs})
When to choose QuerySet methods vs FilterSet
| Need | Pick |
|---|---|
| User-facing filters from query params, DRF integration, auto-generated form | FilterSet |
| Code-driven filtering, readable chains, no query-param binding | Custom QuerySet methods |
| Both | Combine: FilterSet for the API surface, QuerySet methods for internal reuse |
Guidelines for QuerySet methods:
- Return
self(notNone) when the filter is a no-op, so chains never break. - Guard each method against its argument being empty/None — callers should not have to branch before calling.
- Keep methods single-purpose; compose in the view rather than adding flags.
DRF Tips & Patterns
FilterBackend per Action
class ProductViewSet(viewsets.ModelViewSet):
def get_filter_backends(self):
if self.action == 'list':
return [DjangoFilterBackend, filters.SearchFilter]
return []
class OrderViewSet(viewsets.ModelViewSet):
filter_backends = [DjangoFilterBackend]
filterset_class = OrderFilter
def get_queryset(self):
# Exclude cancelled orders for non-admin users
if not self.request.user.is_staff:
return Order.objects.exclude(status='cancelled')
return Order.objects.all()
Conditional Filter Fields
class ProductFilter(django_filters.FilterSet):
class Meta:
model = Product
fields = []
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
# Add fields dynamically based on user
if self.request.user.is_staff:
self.filters['is_active'].field_class = django_filters.BooleanFilter()
Select Related in Filtered Viewsets
class ProductViewSet(viewsets.ModelViewSet):
serializer_class = ProductSerializer
def get_queryset(self):
# Use select_related to avoid N+1
return Product.objects.select_related('category').prefetch_related('tags')
URL Patterns
Basic
GET /api/products/
GET /api/products/?category=1
GET /api/products/?category=1&price_min=10&price_max=100
GET /api/products/?search=laptop
GET /api/products/?ordering=price
GET /api/products/?ordering=-price
GET /api/products/?categories=1,2,3
With Filterset Class
GET /api/products/?name__icontains=laptop
GET /api/products/?price__gte=10
GET /api/products/?in_stock=true
GET /api/products/?created_after=2024-01-01
Range Filters
GET /api/products/?price_range_min=10&price_range_max=100
GET /api/products/?date_range_after=2024-01-01&date_range_before=2024-12-31
Best Practices
Filter Naming Conventions
# Use descriptive names that map to query params
price_min = django_filters.NumberFilter(field_name='price', lookup_expr='gte')
price_max = django_filters.NumberFilter(field_name='price', lookup_expr='lte')
# In URL: ?price_min=10&price_max=100
Performance
# Always use select_related/prefetch_related in get_queryset
class ProductViewSet(viewsets.ModelViewSet):
def get_queryset(self):
return Product.objects.select_related('category', 'vendor').prefetch_related('tags')
Validation
class ProductFilter(django_filters.FilterSet):
price_min = django_filters.NumberFilter()
price_max = django_filters.NumberFilter()
class Meta:
model = Product
fields = ['price_min', 'price_max']
def validate_price_range(self, cleaned_data):
if cleaned_data.get('price_min') and cleaned_data.get('price_max'):
if cleaned_data['price_min'] > cleaned_data['price_max']:
raise serializers.ValidationError("price_min must be less than price_max")
return cleaned_data
Do
- Use
filterset_classfor complex filtering logic - Use
select_relatedandprefetch_relatedto avoid N+1 queries - Use meaningful filter field names (
price_min,price_maxinstead ofpriceused twice) - Add empty labels for optional filters with ModelChoiceFilter
Don't
- Don't expose all model fields as filters - only expose what's needed
- Don't forget to add appropriate indexes on filtered fields
- Don't use filters that require expensive operations without pagination
References
- django-filter Docs: https://django-filter.readthedocs.io/en/stable/guide/usage.html
- DRF Integration: https://django-filter.readthedocs.io/en/stable/guide/rest_framework.html
- Tips: https://django-filter.readthedocs.io/en/stable/guide/tips.html
- GitHub: https://github.com/carltongibson/django-filter
- jvns.ca – More nice Django things (composable QuerySet methods): https://jvns.ca/blog/2026/07/21/more-nice-django-things/