# zhanymkanov/fastapi-best-practices

FastAPI Best Practices and Conventions we used at our startup

Repository: https://github.com/zhanymkanov/fastapi-best-practices
Canonical: https://ross.abutalabs.com/products/fastapi-best-practices
License Family: other
Topics: fastapi, best-practices
Last push: 2026-05-03T18:11:59+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 1485, "days_push": 122, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17965, forks 1314 (observed 2026-08-28T04:11:20.603442+00:00)

## What it is
An opinionated guide to FastAPI best practices and conventions distilled from production experience at startups. It covers project structure, async routing, Pydantic usage, dependency injection, database conventions, and testing patterns.

## Use cases
- structure a large FastAPI monolith project
- learn FastAPI best practices for production
- organize routers, schemas, and models in FastAPI
- decide between async and sync routes in FastAPI
- set up Pydantic and dependency injection conventions
- configure Alembic migrations and DB naming conventions
- get machine-readable FastAPI guidelines for AI coding agents

## When to choose
- you are starting or scaling a FastAPI codebase and want battle-tested conventions
- you need a scalable domain-based project structure for a monolith
- you want a checklist of common FastAPI pitfalls and anti-patterns

## When to avoid
- you need runnable code or a starter template rather than a written guide
- you use a different Python web framework like Django or Flask
- you want an authoritative or official reference rather than one team's opinionated conventions

## Facets
- artifact type: learning-resource
- maturity: active
- function: web-framework, documentation
- domain: web-development, backend, developer-tools, tutorials
- platform: python
- tags: fastapi, best-practices, project-structure, pydantic, async, conventions, api-design

## Member repositories
- zhanymkanov/fastapi-best-practices (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.603442+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:12.525270+00:00, confidence not recorded.
  - readme: https://github.com/zhanymkanov/fastapi-best-practices (fetched 2026-08-28T04:11:20.603442+00:00, sha 321727afc496)
- Data as of 2026-08-30T08:39:29.467469+00:00.