Wechat Management System

vue-element-admin-fastapi

Pinterest Clone | Vue 3 & FastAPI

A web application where users can register, login, create and manage posts, comment on other users' posts, follow and unfollow other users, and search for other users. Additional features include : Backend jobs like export, alert and reporting jobs.

A modern blogging system based on FastAPI and Vue 3, using asynchronous front-end and back-end separation architecture, supporting Docker automated deployment, both efficient performance and ease of use.

DjangoAdmin 是一个基于 Django + Vue3 的前后端分离的后台管理系统，采用了最新的前后端技术栈，内置了丰富的功能模块，可以帮助开发者快速搭建企业级中后台产品。

BlogLite is a social blogging web application using Flask, Rest Api Vuejs, Sqlite3, Celery, Redis etc.

帮助初学者建立好一个平台快速开发框架

Django, DRF, VueJS, Docker, NGINX, Traefik, VuePress, Portainer, Celery, Flower, Element UI, GitLab CI

python+vue2.6+flask+ElementUI + celery+ rabbitmq as full stack develop manage syatem

Start2Impact final project: Auction platform powered by Ethereum blockchain

Online data masking and sensitve data discovery platform for common rdbms. Build with FastAPI and scaled using Celery

发布系统

(semi-finished, abandoned) A platform that allows users to send periodic HTTP(S) requests, in a cron-like way.

An application which implements flashcards for memory training. It has some core functionalities such as rest api, user login, dashboard, review, deck management, validations, server sent events, async deck exports, discord webhook for daily notifications, Redis and Celery for backend jobs, visually aesthetic and responsive UI using Tailwindcss.

It's my finaly version of website with using vue.js 3.0 & Django

TicketShow is a web-based application for booking and managing movie tickets, developed as the capstone project for the IITM BS Degree's "App Dev 2" course.

Library management system (e-library), built using Flask for the backend and Vue.js for the frontend.

playground project to show an event driven architecture for csv-to-db processing

The Library Management System optimizes library tasks, allowing users to request and read books, librarians to manage inventory and requests, and administrators to oversee roles. Built with Vue3, Flask, and SQLite3, it ensures reliability, with Celery for task scheduling and Redis for caching.