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Source channel @FindBlog · Post #643 · 3月1日

Flare Stack Blog ——基于 Cloudflare Workers 的现代化全栈博客 CMS ## 核心功能 • 文章管理 — 富文本编辑器,支持代码高亮、图片上传、草稿/发布流程 • 标签系统 — 灵活的文章分类 • 评论系统 — 支持嵌套回复、邮件通知、审核机制 • 友情链接 — 用户申请、管理员审核、邮件通知 • 全文搜索 — 基于 Orama 的高性能搜索 • 媒体库 — R2 对象存储,图片管理与优化 • 用户认证 — GitHub OAuth 登录,权限控制 • 数据统计 — Umami 集成,访问分析与热门文章 • AI 辅助 — Cloudflare Workers AI 集成 • 主题系统 — 可扩展的主题模板,支持完整替换所有页面和布局 • 导入导出 — 支持Markdown导入导出,保留图片以及Frontmatter Flare Stack Blog 的所有面向用户的页面与布局均通过 主题契约(Theme Contract) 与业务逻辑解耦。你可以在不修改任何路由或数据逻辑的前提下,完整替换博客的视觉表现层。 项目地址:https://github.com/du2333/flare-stack-blog #Platform#Cloudflare 频道:@FindBlog 群组:@FindBlog_Group

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djangoproject

@djangoproject · Post #279 · 2017/03/20 07:42

https://realpython.com/blog/python/getting-started-with-django-channels/#.WLWLY9_IJ0s.linkedin In this tutorial, we will use #Django_Channels to create a real-time application that updates a list of users as they log in and out. Django Channels Logo With #WebSockets (via Django Channels) managing the communication between the client and the server, whenever a user is authenticated, an event will be broadcasted to every other connected user. Each user’s screen will change automatically, without them having to reload their browsers.

djangoproject

@djangoproject · Post #576 · 2018/03/02 12:52

https://www.obeythetestinggoat.com/pages/book.html#toc "Test-Driven Web Development with Python" aims to teach #TDD for web programming. It uses a concrete example — the development of a website, from scratch — to explain the TDD metholology and how it applies to building web applications. It covers the #Selenium browser-automation tool, #unit_testing, mocking, and interacting with Web technologies from the basics of static content, database integration, throught the inescapable JavaScript, and onto more advanced (and trendy) topics like #NoSQL, #websockets and Async programming.

djangoproject

@djangoproject · Post #517 · 2017/12/08 05:27

https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers I've recently been exploring the exciting new world of #asynchronous I/O libraries in Python 3 – specifically asyncio and curio. These two libraries make some different design choices. Example 1: #asyncio, with callbacks Example 2: #curio, with #async/#await Example 3: asyncio, with async/await #websockets

djangoproject

@djangoproject · Post #228 · 2017/01/16 13:11

http://www.aparat.com/v/miNUS pycon 2016- Andrew Godwin - Reinventing Django for the #Real_Time Web Django has long been tied to the #request_response pattern, but the upcoming "#channels" project changes this and allows #Django to natively support #WebSockets, running tasks after responses, easily handle #long_polling and more. Come and learn about the design, how we're trying to keep things as Django-like as possible, and how you can use it in your projects.

GitHub Trends

@githubtrending · Post #15556 · 2026/03/12 12:30

#typescript#ai#ai_agents#coding#deno#embeddings#insforge#nextjs#oauth2#pgvector#postgresql#realtime#vectors#websockets InsForge is an open-source backend platform for AI coding agents, offering easy auth, Postgres database, S3 storage, edge functions, and model gateway via a simple semantic layer. Agents fetch context, configure services, and inspect state to build full-stack apps quickly. Set up locally with Docker or use cloud deploys. It boosts agent accuracy 1.7x, speed 1.6x, and cuts tokens 30% vs. rivals, letting you prototype and ship AI-driven apps faster with less hassle and cost. https://github.com/InsForge/InsForge

GitHub Trends

@githubtrending · Post #15204 · 2025/10/08 11:30

#java#cloud#coap#dashboard#iot#iot_analytics#iot_platform#iot_solutions#java#kafka#lwm2m#microservices#middleware#mqtt#netty#platform#snmp#thingsboard#visualization#websockets#widgets ThingsBoard is an open-source IoT platform that helps manage and analyze data from connected devices. It allows users to collect data, create real-time dashboards, and automate tasks using a powerful rule engine. This platform supports various protocols like MQTT and HTTP, making it easy to connect devices. Users can also define relationships between devices and assets, and trigger alarms based on specific conditions. The benefit is that it simplifies IoT project development, making it scalable and efficient for applications like smart farming, smart offices, and more. https://github.com/thingsboard/thingsboard