autocrud 0.8.3

自動產生 CRUD API 的 Python 函式庫

AutoCRUD

Model-driven backend platform for FastAPI

AutoCRUD automatically generates REST APIs, GraphQL APIs, search, version history, and admin UI from Python models.

Focus on business logic, not infrastructure.

⭐ If you find this project useful, consider giving it a star.

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Why AutoCRUD

Modern backend development repeatedly rebuilds the same infrastructure:

• CRUD APIs
• validation
• search and filtering
• version history
• permissions
• background jobs
• admin tools

Most of this code is not business logic.

AutoCRUD eliminates this repetition by using a model-driven architecture.

Define your model once, and the framework generates the rest.

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Example

Define a resource model:

from msgspec import Struct

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

Register the model:

from fastapi import FastAPI
from autocrud import crud

app = FastAPI()

crud.add_model(User)
crud.apply(app)

Start the server:

uvicorn main:app

Optional startup tuning:

export AUTOCRUD_DEFAULT_QUERY_LIMIT=1000

This controls the default page size for list endpoints. Per-request limit still overrides it.

You now automatically get:

POST   /users
GET    /users
GET    /users/{id}
PUT    /users/{id}
PATCH  /users/{id}
DELETE /users/{id}

OpenAPI documentation is generated automatically.

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Architecture

graph TD

FastAPI --> AutoCRUD
AutoCRUD --> ResourceManager
ResourceManager --> Storage

Storage --> MetaStore
Storage --> RevisionStore
Storage --> BlobStore

AutoCRUD --> REST_API
AutoCRUD --> GraphQL_API
AutoCRUD --> UI_Generator

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Core Features

Model-driven APIs

AutoCRUD generates APIs directly from Python models.

Model
  ↓
REST API
GraphQL API
OpenAPI

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Versioned resources

Every resource maintains immutable revision history.

Resource
 ├── r1
 ├── r2
 └── r3

Advantages:

• audit history
• rollback
• draft workflows
• debugging

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Built-in search

Search operates on indexed metadata instead of scanning full resource payloads.

QueryBuilder
   ↓
ResourceManager.search()
   ↓
MetaStore.search()

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Background jobs

Jobs are modeled as resources.

create()
  ↓
message_queue.put(resource_id)

Workers process jobs through:

ResourceManager.start_consume()

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Storage abstraction

AutoCRUD supports multiple storage backends.

Backend	Meta	Revision	Blob
Memory	memory	memory	memory
Disk	SQLite	files	filesystem
S3	SQLite	S3	S3
Postgres	PostgreSQL	S3	S3

You can also implement custom storage systems.

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UI generation

AutoCRUD can generate a web interface directly from the API.

API
 ↓
UI generator
 ↓
admin dashboard

This allows rapid creation of internal tools.

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Comparison

Feature	AutoCRUD	Hasura	Django
REST API	✅	❌	✅
GraphQL	✅	✅	⚠️
Version history	✅	❌	❌
Search engine	✅	SQL	ORM
Storage	pluggable	PostgreSQL	relational
Background jobs	built-in	external	external
UI generation	✅	console	admin

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Quickstart

Install:

pip install autocrud

Run your app:

uvicorn main:app

Open:

http://localhost:8000/docs

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Documentation

Full documentation:

https://hychou0515.github.io/autocrud/

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Example use cases

AutoCRUD works well for:

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

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License

MIT