Overview
The repository python-fastapi-graphql is a simple (yet working) example of using FastAPI together with GraphQL in Python. At its core, the project shows how you can build a GraphQL API using FastAPI. The code base appears minimal: it includes a single main file (fastapigraphql.py), a requirements file, a test database file (test.db), and a sample image (img-graphql.png) presumably to illustrate schemata or API behavior. GitHub
Although the repository doesn’t come with an extended README or detailed documentation, its bare structure suggests it’s probably meant as a small demo or starting point rather than a full production-grade solution. The .gitignore, requirements, and small number of files support that conclusion. GitHub
What’s behind “FastAPI + GraphQL”
To understand the value of this repo, it helps to know why combining FastAPI with GraphQL makes sense:
FastAPI is an asynchronous, high-performance web framework that supports modern Python typing and features. GitHub +1
GraphQL — when used together with FastAPI — enables clients to request exactly the data they need. Instead of fixed endpoints returning fixed responses, GraphQL provides a flexible query language: clients can specify their data shape, fields, relations, and get back precisely what they asked for. This reduces over-fetching or under-fetching typical of REST APIs. GeeksforGeeks +1
FastAPI’s ASGI-based architecture makes it relatively easy to integrate GraphQL libraries that support ASGI. There are several Python GraphQL libraries compatible with FastAPI, such as Strawberry, Ariadne, or Graphene (via starlette/ASGI). fastapi.org.cn +1
This combination allows an API developer to leverage modern Python typing (with Pydantic, if desired), asynchronous request handling, and flexible data querying via GraphQL — giving both developer efficiency and client-side flexibility. Medium +1
Because of these advantages, many community boilerplates and projects adopt this stack (FastAPI + GraphQL + ORM) to build scalable, maintainable back-ends. GitHub +2 GitHub +2
What this repository shows (and what it lacks) ✅ What it shows / includes
There is a working minimal codebase integrating FastAPI with GraphQL (i.e. fastapigraphql.py). That suggests you could run the server locally, and see how GraphQL endpoints behave. GitHub
The project includes a requirements.txt, so dependencies are declared — this helps for reproducibility / setting up the environment. GitHub
A test.db file is present, which might hint at use of a lightweight database (e.g. SQLite) for simple data storage — useful to get a quick demo working without heavier infrastructure. GitHub
Inclusion of an image (img-graphql.png) — likely a diagram or screenshot illustrating GraphQL usage (e.g. schema, request/response) — which can aid understanding or quick demonstration. GitHub
Thus, the repository is useful as a starter template / proof-of-concept: good for experimenting, learning, or building a small demo app.
No README or documentation: There is no description, instructions, or “how to run” guide on the repository. That makes it harder for others (or even future you) to quickly spin up and test the project. GitHub
Minimal functionality / minimal code structure: Compared to more mature boilerplates or GraphQL-backed backends, this repo lacks modular structure, database migrations, ORM-layer abstraction, authentication, environment configurations, and more.
Not clearly production ready: Because of its simplicity — e.g., using a test database file, no config for environment variables, no Docker or deployment files — using this code directly in production would require more work.
Lack of schema, resolvers, or extended GraphQL features (in repo): From the file listing, there is no visible folder for models, resolvers, queries/mutations abstractions, or separation of concerns. Everything seems in one file — so for anything more than a toy example, you’d probably need to refactor heavily.
How this fits into the broader ecosystem & what you’d do next
The idea of combining FastAPI with GraphQL is well established, and many projects and boilerplates do exactly that — sometimes using async ORMs (SQLAlchemy, etc.), database migrations, authentication (JWT), and full CRUD + GraphQL + REST fallback support. GitHub +2 GitHub +2
If I were you and wanted to build a real application based on this repo, here’s how I’d proceed:
Refactor project structure — split code into modules: e.g., models/, schema/, resolvers/, config/, etc.
Use a proper database + ORM + migrations — e.g. integrate SQLAlchemy (or another ORM), and use migration tools (Alembic, etc.).
Define GraphQL schema in a maintainable way — using a GraphQL library like Strawberry or Graphene, with resolvers separated from business logic.
Add config / environment variable management — for secrets, database credentials, etc.
Add authentication / authorization — e.g. JWT-based auth, if your API requires secure endpoints.
Add testing & documentation — automated tests (unit/integration), and README / instructions so others (or future you) can replicate or extend.
Consider deployment setup — Docker / Docker-Compose, or deployment on a serverless or container platform.
In that way, the repo could grow from a toy demo into a maintainable backend framework for real-world applications.
Conclusion
The python-fastapi-graphql repo by “godfreypurification7” is best seen as a starter-level demo illustrating how to run a GraphQL API using FastAPI in Python. As is, it offers minimal structure — enough to play around, experiment, and understand the interplay of FastAPI + GraphQL + a database.
But to build something more robust and production-ready, you’d need to significantly expand and refactor it: add proper schema & resolver design, database + ORM + migrations, config management, modular code structure, possibly authentication & authorization, testing and documentation.
If you like — I can generate a skeleton version for you: a project structure (folders + files) based on this repo + best practices (ORM + migrations + GraphQL + configs), ready for you to clone and build on. Would you like me to scaffold that for you now?