Skip to main content

GIS support for graphene-django

Project description




django==2.2 is supported. Install the graphene-gis with pip:

$ pip install graphene-gis

Make sure that you have appropriate driver to interact with postgis-- psycopg2 or psycopg2-binary. The binary package is a practical choice for development and testing but in production it is advised to use the package built from sources. More info here.

Add it to your INSTALLED_APPS in



Hi, check this-> geoql project out, it demonstrates usage-- such as querying, mutations using WKT and geojson. I will be adding more stuff soon such as containerization, interactive UI etc, and more examples that showcases the library. This project provides an insight into real-world usage of the library, do check it out.

This extension can works out of the box with WKT, but if you want to use GeoJSON for input while mutations, install rest_framework_gis alongside it-- or check out geoql sample project.


from django.contrib.gis.db import models

class Place(models.Model):
    name = models.CharField(max_length=255)
    location = models.PointField()

from graphene_django import DjangoObjectType
from graphene_gis.converter import gis_converter  # noqa

class PlaceType(DjangoObjectType):
    class Meta:
        model = Place

class Query(graphene.ObjectType):
    place = graphene.Field(Place)

    def resolve_place(self, info):
        return Place(name="San Andreas", location="POINT(34.2 54.3)")

schema = graphene.Schema(query=Query)


query {
    place {

Query Output

"place": {
    "name": "San Andreas",
    "location": {
        "type": "Point",
        "coordinates": [34.2, 54.3]


class PointModelType(graphene.ObjectType):
    location = graphene.Field(graphene.String, to=scalars.PointScalar())

class CreatePointModelType(graphene.Mutation):
    point = graphene.Field(PointModelType)

    class Arguments:
        location = graphene.Argument(scalars.PointScalar)

    def mutate(root, info, location):
        point = PointModelType(location=location)
        return CreatePointModelType(point=point)


mutation {
    createPoint (location: "POINT(3 5)") {
        point {

Mutation Output

"createPoint": {
    "point": {
        "location": "{'type': 'Point', 'coordinates': [3.0, 5.0]}"


A JSON Converter, so if you're familiar with graphene, you know that it sends JSONField as stringified JSON, but with a lot of data, you dont want to parse it in the frontend, I know it goes against having a static type, but if you're not modifying the data on the frontend, plus you're using typescript which enforces types anyway, it works like a charm.

And geojson contains JSONField like properties section, and parsing every node in the frontend is cumbersome if you have ~9000 entries, also time consuming.

Output without using json_converter

  "data": {
    "vectors": [
        "type": "Feature",
        "properties": "{\"Name\": \"Blues\", \"area\": 0.0006971253332413299, \"bbox\": [74.59639001261124, 24.7077612714826, 74.61615129922414, 24.755648349214077], \"perimeter\": 0.15862406542812008}",
        "geometry": {
          "type": "Polygon",
          "coordinates": [...]

Now if you're working with GeoJSON, you're not working with just one vector, you're probably working with thousands. Voila json_converter!!! Now you can plot it directly, if you store it in such a way! I won't go into how to structure the model, but this is fairly accurate description of GeoJSON, and anyone familiar with django will be able to reproduce it without issues.

  "data": {
    "allVectors": [
        "type": "Feature",
        "properties": {
          "Name": "Blues",
          "area": 0.0006971253332413299,
          "bbox": [
          "perimeter": 0.15862406542812008
        "geometry": {
          "type": "Polygon",
          "coordinates": [...]


Rishabh Mehta

If you have any issues or queries regarding acadbot, please don't hesitate to email the @author. I have a lot of free time.

I forget stuff, this section is for anyone who wants to build the package.

$ python sdist
$ twine upload dist/*


  • Targeting graphene-v3 update by March'22 -> MR

  • Install the pre-release using:

  • Django 4.2 LTS support by May'23

    pip install graphene-gis==0.0.8b0


This code falls under the MIT license which permits the reuse of the proprietary software provided that all copies of the licensed software include a copy of the MIT License terms and the copyright notice. Go crazy!

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graphene-gis-0.0.8.tar.gz (5.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page