thehimel

Learning platform API with FastAPI, PostgreSQL, and JWT auth. Courses, enrollments, ratings, and role-based access (student, instructor, admin).

10
1
100% credibility
Found Mar 08, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A backend service for a learning platform that handles user registration, course creation, enrollment, and ratings with different access levels for students, instructors, and admins.

How It Works

1
🔍 Find the learning platform

You discover this ready-made system for building an online school with courses and students.

2
🏠 Get it running locally

You follow easy instructions to start the platform on your own computer, including a safe place for all the data.

3
👤 Sign up as a teacher

You create an account choosing your role like instructor or admin to manage everything.

4
📚 Create your first course

You add a course with a title, description, and list yourself as the teacher, ready for students.

5
👥 Students join and enroll

People sign up, log in, and sign up for your courses to start learning.

6
Rate and review courses

Students give star ratings to courses, and you see the average scores update automatically.

🎉 Your online school is live

Now you have a thriving platform where teachers teach, students learn, and everyone sees feedback.

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Star Growth

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AI-Generated Review

What is learning-platform-api?

This Python FastAPI backend powers a full learning platform API, handling user authentication with JWT, role-based access for students, instructors, and admins, plus course creation, listing with search and pagination, enrollments, and ratings. Developers get a ready-to-run API for online education apps—think CompTIA A+ training or custom course sites—with PostgreSQL persistence, Docker Compose for local/prod setups, and interactive docs at /docs. Quick start via uv sync, database migrations, and uvicorn keeps setup under 5 minutes.

Why is it gaining traction?

It skips boilerplate with async SQLAlchemy, rate limiting, and background tasks for rating aggregates, delivering snappy performance out of the box. Bruno collections provide pre-built API tests for auth, courses, and users across roles, easing onboarding versus bare FastAPI skeletons. Solid pytest suite, pre-commit hooks, and Vercel deploy script make it dev-friendly for rapid iteration.

Who should use this?

Backend devs prototyping edtech MVPs, like open source learning platforms or internal training tools. Instructors building course catalogs with enroll/rate features. Teams needing role-based APIs without wiring auth and DB from scratch.

Verdict

Grab it for a battle-tested FastAPI learning platform starter—excellent docs, tests, and tooling despite 10 stars and 1.0% credibility score. Fork and extend for production; maturity lags big repos but beats most templates.

(198 words)

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