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sansan0/TrendRadar

by sansan0 · Artificial Intelligence › Large Language Models Artificial Intelligence › Local AI Models Infrastructure & DevOps › Docker Tools
⭐ 63.5k stars🍴 24.9k forks 💻 PythonCoding Knowledge Recommended 🕐 Updated 05 Nov 2026📊 Recommended score 90.8/100

🧭 What Does TrendRadar Actually Do? — A Plain-English Guide

In simple words: TrendRadar is a tool you run on your own computer or server, then open in your browser, for running AI brains that understand and write text, like ChatGPT. It is completely free and open source — its code is public on GitHub, where 63,518 people have bookmarked it as worth using.

Step by step — how you would actually use it

  1. TrendRadar is installed once on a computer that stays on — your own PC or a small server. Its README (linked below) has the exact setup; many people use its ready Docker setup.
  2. After installing, open it in your normal web browser at an address on your own network — no company account is needed.
  3. Create your own login for it, which only you control.
  4. Use it day to day for running AI brains that understand and write text, like ChatGPT, from your phone or laptop, through the browser.
  5. Everything it stores stays on YOUR machine, under your control — that is the whole point of this kind of tool.

💡 A real-life example: A shop owner uses a tool like this to turn a long voice note into clean written text, then replies to customers much faster.

RepoEasy wrote this simple explanation from the project's public data — its category, topics and description — so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.

Quick Overview — What is this tool?

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

Who Is This For?

This project is listed under Large Language Models in Artificial Intelligence, a category made for creators, businesses, students and developers who want to use AI without getting lost in research papers.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

The source code is released under the GPL-3.0 license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.

Is It Actively Maintained?

Activity level: Very active · Last code update: 05 Nov 2026 · Created: 28 Apr 2025 · Open issues: 37

How to Get Started

  1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
  2. To download the full code, generate this repository's public link below and run the clone command in a terminal:
🔒 This repository's public link is protected. Click the button below to generate it.

Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 63518 stars · 🍴 24918 forks · 🐛 37 open issues · 💻 Language: Python · 📄 License: GPL-3.0 · Default branch: master

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