← Back to all products

GraphQL Boilerplate

$10

Lightweight GraphQL server built on Python's standard library, zero dependencies.

📁 9 files

JSONMarkdownPython

📄 Product Preview

Try the interactive reader and demo tools below, or get the full product with all content unlocked.

📖 Interactive Reader (Free Preview) ⚙ Try Demo Tools 📦 Download Free Sample

📁 File Structure 9 files

graphql-boilerplate/ ├── LICENSE ├── README.md ├── examples/ │ └── queries.example.json ├── free-sample.zip ├── guide/ │ ├── 01_graphql-boilerplate.md │ ├── 02_features.md │ └── 03_quick-start.md ├── index.html └── src/ └── main.py

📖 Documentation Preview README excerpt

GraphQL Boilerplate

Lightweight GraphQL server built on Python's standard library. Zero dependencies.

Part of the API Launchpad toolkit by [CodeVault](https://codevault.dev).

Features

Schema definition with Python dataclasses — no SDL files needed
Field resolvers with argument passing and context support
Query parsing for queries, mutations, and nested field selections
Introspection support — __schema and __type queries for tooling compatibility
Built-in GraphQL Explorer — HTML-based query editor served at /
CORS enabled — ready for frontend integration out of the box
Zero dependencies — runs on Python stdlib only

Quick Start


# Start the server
python3 src/main.py

# Open the GraphQL Explorer in your browser
open http://localhost:4000/

# Or use curl
curl -X POST http://localhost:4000/graphql \
  -H 'Content-Type: application/json' \
  -d '{"query": "{ users { id name email } }"}'

Defining Your Schema

Register a type


from main import schema, FieldDef

schema.register_type("Product", [
    FieldDef(name="id", type_name="ID"),
    FieldDef(name="name", type_name="String"),
    FieldDef(name="price", type_name="Float"),
    FieldDef(name="in_stock", type_name="Boolean"),
], description="A product in the catalog")

Register a query resolver


schema.register_query(
    "products", "Product",
    lambda args: list(products_db.values()),
    is_list=True,
    description="List all products",
)

schema.register_query(
    "product", "Product",
    lambda args: products_db.get(args.get("id", "")),
    arguments={"id": "ID"},

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .py preview

src/main.py #!/usr/bin/env python3 """ GraphQL Boilerplate — Lightweight GraphQL Server ================================================== A Python GraphQL server built entirely on the standard library. Supports schema definition via Python dataclasses, field resolvers, query parsing, type validation, introspection, and error formatting. Zero dependencies. Just run: python3 main.py Part of the API Launchpad toolkit by DataNest. License: MIT """ from __future__ import annotations import json import logging import re from dataclasses import dataclass, field from datetime import datetime, timezone from http.server import HTTPServer, BaseHTTPRequestHandler from typing import Any, Callable from urllib.parse import parse_qs, urlparse # --------------------------------------------------------------------------- # Configuration # --------------------------------------------------------------------------- DEFAULT_HOST = "0.0.0.0" DEFAULT_PORT = 4000 SERVER_TITLE = "GraphQL Boilerplate" logging.basicConfig( level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s", datefmt="%Y-%m-%dT%H:%M:%S", ) logger = logging.getLogger("graphql-server") # --------------------------------------------------------------------------- # Type System — Define your schema types as Python dataclasses # --------------------------------------------------------------------------- # Scalar type mapping: GraphQL type name → Python type for validation SCALAR_TYPES: dict[str, type] = { "String": str, "Int": int, "Float": float, # ... 529 more lines ...

Buy Now — $10 Back to Products