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chore(deps): update wantcat/trendradar docker tag to v6 (#3993)
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6.0.0 chore(deps): update wantcat/trendradar docker tag to v6 (#3993) 2026-02-13 22:43:36 +08:00
README.md 📝 docs(trendradar): update configuration and documentation files 2026-01-29 11:40:13 +08:00
README_en.md 📝 docs(trendradar): update configuration and documentation files 2026-01-29 11:40:13 +08:00
data.yml feat(trendradar): add trendradar application version 3.1.1 2025-11-23 22:08:09 +08:00
logo.png feat(trendradar): add trendradar application version 3.1.1 2025-11-23 22:08:09 +08:00

README_en.md

Configuration and Usage Instructions

After installing the application, please go to application installation directory/config/config.yaml to configure the remaining parameters.

After installing the application, please navigate to application installation directory/config/frequency_words.txt to configure the hot keywords you care about.

After upgrading the application, the config.yaml needs to be updated as well. Configuration Guide Visual Configuration Editor

Web Service: After entering the container, execute python manage.py start_webserver to start the service.

Introduction

Simple public opinion monitoring and analysis - multi-platform hotspots aggregation + AI analysis tool based on MCP.

Does not integrate AI by default, MCP service needs to be installed separately.

Features

  • Aggregation of Hotspots Across the Network: By default, monitors 11 major platforms such as Zhihu, Douyin, Bilibili, etc., and additional platforms can also be added manually;
  • Intelligent Push Strategy: Supports three push modes: daily summary, current ranking, and incremental monitoring;
  • Precise Content Filtering: Set personal keywords, only push relevant hotspots, filter irrelevant information;
  • Trend Analysis: Real-time tracking of news popularity changes;
  • Personalized Hotspot Algorithm: TrendRadar's proprietary weighted algorithm;
  • Multi-channel Real-time Push: Supports WeCom (+ WeChat), Lark, DingTalk, Telegram, email, ntfy, and other push channels;
  • AI Intelligent Analysis: Requires additional deployment of MCP service, refer to documentation