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SpecStar vs Hasura vs Django

These three tools can all help you build data-driven backends faster, but they solve the problem from very different starting points.

This page is a decision guide rather than a winner-takes-all comparison.

It compares:

  • SpecStar – spec-driven backend platform for FastAPI
  • Hasura – database-driven GraphQL engine
  • Django – full-stack web framework with ORM and admin interface

Use it to decide which tool best matches your architecture, team workflow, and product needs.

Quick comparison

If your starting point is... Best fit Why
FastAPI + Python models + versioned data SpecStar You get generated APIs, revision history, search, and automation from a Python-first workflow.
PostgreSQL schema + GraphQL-first frontend Hasura It exposes GraphQL rapidly from an existing relational schema.
Full-stack web app with ORM and admin Django It provides the classic batteries-included web stack.

Feature comparison

Feature SpecStar Hasura Django
Primary model Python models Database schema ORM models
REST API ✅ ⚠️ usually external ✅
GraphQL API ✅ ✅ ⚠️ (via libraries)
Version history ✅ built-in ❌ ❌
Search engine ✅ metadata indexing SQL queries / filters ORM queries
Storage pluggable PostgreSQL relational databases
Background jobs built-in resource jobs external systems Celery / external
Admin / UI auto-generated UI console only Django admin
Target ecosystem FastAPI GraphQL Django

SpecStar

SpecStar is a spec-driven backend platform built for FastAPI.

Developers define data models in Python:

class User(Struct):
    name: str
    email: str

From these models, SpecStar can automatically generate:

  • REST APIs
  • GraphQL APIs
  • OpenAPI documentation
  • search and filtering
  • revision history
  • background job processing
  • admin UI generation

The goal is to allow developers to focus on domain models and business logic.

Versioned resource model

Unlike typical CRUD frameworks, SpecStar treats application data as versioned resources.

Resource
 ├── ResourceMeta
 └── Revisions
       ├── r1
       ├── r2
       └── r3

Each update creates an immutable revision.

The active revision is stored in metadata:

ResourceMeta.current_revision_id

This provides built-in support for:

  • audit history
  • rollback
  • draft workflows
  • debugging

Hasura

Hasura generates GraphQL APIs directly from a PostgreSQL database.

Architecture:

PostgreSQL
   ↓
Hasura Engine
   ↓
GraphQL API

Developers define tables and relationships in the database.

Hasura automatically generates:

  • GraphQL queries
  • GraphQL mutations
  • subscriptions

Advantages:

  • extremely fast API generation
  • powerful GraphQL capabilities
  • tight Postgres integration

Limitations:

  • tightly coupled to PostgreSQL
  • version history must be implemented manually
  • business logic often implemented outside the API layer

Hasura works best for database-driven GraphQL applications.

Django

Django is a full-stack web framework.

Architecture:

Django ORM
   ↓
Models
   ↓
Views / API
   ↓
Database

Developers define models using the Django ORM:

class User(models.Model):
    name = models.CharField(...)
    email = models.EmailField(...)

Advantages:

  • mature ecosystem
  • built-in admin interface
  • strong ORM
  • batteries-included framework

Limitations:

  • tightly coupled architecture
  • APIs often require additional frameworks (Django REST Framework)
  • version history requires custom implementation

Django is best suited for full-stack web applications.

Architectural differences

Data model

Framework Data model
SpecStar versioned resources
Hasura relational tables
Django ORM models

SpecStar explicitly models revision history.

API generation

Framework API generation
SpecStar spec-driven REST + GraphQL
Hasura schema-driven GraphQL
Django manual views or DRF

SpecStar generates APIs from Python models.

Hasura generates APIs from database schemas.

Storage flexibility

Framework Storage
SpecStar pluggable
Hasura PostgreSQL
Django relational databases

SpecStar supports multiple storage backends such as:

  • memory
  • disk
  • S3
  • PostgreSQL

UI generation

SpecStar can generate a web interface directly from the API schema.

API
 ↓
UI generator
 ↓
admin dashboard

This allows rapid creation of internal tools and administrative systems.

Hasura provides a management console, while Django includes a built-in admin interface.

When each is the better fit

Choose SpecStar when

SpecStar is a strong choice when:

  • you are building APIs with FastAPI
  • you want automatic REST and GraphQL APIs
  • version history and auditability matter
  • infrastructure code should be minimized
  • you want automatic admin UI generation

Typical use cases include:

  • internal tools
  • content systems
  • configuration management
  • job processing systems
  • administrative APIs

Choose Hasura when

Hasura is a strong choice when:

  • your system is database-first
  • you want GraphQL APIs quickly
  • your data is primarily relational
  • PostgreSQL is already the center of your design

Choose Django when

Django is a strong choice when:

  • you want a full-stack framework
  • your application includes server-rendered pages
  • you want a mature ecosystem and admin interface
  • your team already works comfortably with Django conventions

Summary

Each framework targets a different architecture.

Framework Best for
SpecStar spec-driven FastAPI backends with built-in revision history
Hasura GraphQL over PostgreSQL
Django full-stack web applications

In short:

GraphQL over PostgreSQL -> Hasura
Full-stack web framework -> Django
FastAPI + spec-driven APIs + revision history -> SpecStar

If you want to continue exploring SpecStar specifically, read Why SpecStar exists, Overview, or Core Concepts.