# Sanjeev-Thiyagarajan/fastapi-course

Repository: https://github.com/Sanjeev-Thiyagarajan/fastapi-course
Canonical: https://ross.abutalabs.com/products/fastapi-course
Language: Python
License Family: other
Last push: 2024-08-09T21:50:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1844, "days_push": 754, "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 1139, forks 561 (observed 2026-08-28T04:03:44.221359+00:00)

## What it is
A companion code repository for a FastAPI video course that builds a backend clone of a social media app. It implements posts, users, authentication with JWT, and a voting/likes system using Python, FastAPI, and PostgreSQL.

## Use cases
- learn fastapi from a hands-on course
- example of building a rest api with fastapi and postgres
- see how to implement jwt login in fastapi
- reference code for crud posts and votes api
- study project structure for a fastapi backend
- follow along with a youtube fastapi tutorial

## When to choose
- you are learning FastAPI and want runnable example code
- you want a small reference implementation of auth, CRUD, and voting endpoints
- you are following the associated YouTube course playlist

## When to avoid
- you need a production-ready social media backend
- you want a maintained library with a license and releases
- you need features like downvotes, tests, or deployment configuration

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: web-framework, api-framework, auth, orm, database
- domain: web-development, backend, developer-tools, tutorials
- platform: python, cross-platform
- tags: fastapi, course, tutorial, social-media-api, postgres, jwt, crud, learning-project

## Member repositories
- Sanjeev-Thiyagarajan/fastapi-course (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.221359+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 2026-08-30T06:35:50.925164+00:00, confidence not recorded.
  - readme: https://github.com/Sanjeev-Thiyagarajan/fastapi-course (fetched 2026-08-28T04:03:44.221359+00:00, sha a9a2256e2da3)
- Data as of 2026-08-30T08:39:29.467469+00:00.