# TrendRadar

> AI-driven public opinion monitor and multi-platform trend aggregator

TrendRadar aggregates trending topics and RSS feeds across multiple platforms, applying LLMs for intelligent filtering, translation, and trend analysis. It delivers automated reports and alerts through channels like WeChat, Feishu, DingTalk, Telegram, Slack, and email, and can expose data via the Model Context Protocol. It can be hosted using Docker, run via CLI, or executed on GitHub Actions with HTML report generation.

- Source: https://github.com/sansan0/TrendRadar
- Homepage: https://trendradar.sandev.cc
- Live demo: https://sansan0.github.io/TrendRadar/
- License: GPL-3.0
- Language: Python
- Stars: 62658
- Forks: 24882
- Contributors: 4
- Last commit: 2026-09-13
- Purpose: AI & LLM tooling, MCP servers, Data & analytics
- Runs on: Web, Docker / self-host, CLI
- For: Personal

## Worth score: 67/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 24/25
- Momentum: 10/20
- Maintenance: 15/25
- Community: 10/15
- Readiness: 8/15

## Alternatives

- [World Monitor](https://diggithub.com/koala73/worldmonitor.md): Real-time global news and geopolitical dashboard
- [BettaFish](https://diggithub.com/666ghj/BettaFish.md): Multi-agent public opinion analysis

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Source page: https://diggithub.com/sansan0/TrendRadar
Updated: 2026-10-04