mirror of
https://github.com/arch3rPro/1Panel-Appstore.git
synced 2026-05-10 19:31:39 +08:00
feat(trendradar): 添加 TrendRadar 应用及相关配置
This commit is contained in:
@@ -0,0 +1,69 @@
|
||||
# TrendRadar - Trend Radar
|
||||
|
||||
A lightweight multi-platform trend monitoring tool that helps you track various trending topics and trend changes in real-time.
|
||||
|
||||
## 🚀 Core Features
|
||||
|
||||
### 📊 Multi-Platform Data Aggregation
|
||||
- Integrated with newsnow project API for multiple mainstream platforms
|
||||
- Real-time aggregation of trending topics and data
|
||||
- Intelligent data cleaning, deduplication, and quality optimization
|
||||
- Support for Chinese platforms like Weibo, Zhihu, Baidu hot trends tracking
|
||||
|
||||
### 🤖 AI-Powered Analysis
|
||||
- AI-driven trend analysis engine
|
||||
- Automatic identification and categorization of trending topics
|
||||
- Trend prediction and development assessment
|
||||
- Intelligent keyword extraction and topic summarization
|
||||
- Heat score analysis and trend strength evaluation
|
||||
|
||||
### 📈 Data Visualization
|
||||
- Intuitive trend charts and heatmap displays
|
||||
- Multi-dimensional data analysis and cross-comparison
|
||||
- Historical trend retrospection and prediction display
|
||||
- Interactive data exploration interface
|
||||
- Support for chart export and sharing
|
||||
|
||||
### 🔍 Real-Time Monitoring
|
||||
- 7×24 continuous monitoring and data collection
|
||||
- Real-time push notifications for important trend changes
|
||||
- Customizable monitoring rules and keyword filtering
|
||||
- Anomaly detection and alert mechanisms
|
||||
- Batch monitoring task management
|
||||
|
||||
### 💾 Flexible Storage Architecture
|
||||
- **Local Storage**: SQLite database, fully autonomous and controllable
|
||||
- **Cloud Storage**: S3-compatible protocol support (Cloudflare R2, Alibaba Cloud OSS, Tencent Cloud COS, etc.)
|
||||
- **Data Backup**: Automatic backup and recovery mechanisms
|
||||
- **Storage Optimization**: Data compression and archival strategies
|
||||
|
||||
### 🔌 Multiple Deployment Options
|
||||
- **Docker Deployment**: One-click containerized deployment, most stable and simple
|
||||
- **GitHub Actions Deployment**: Cloud-based automated operation
|
||||
- **MCP Client Support**: Integrated with Model Context Protocol
|
||||
|
||||
## 🎯 Use Cases
|
||||
|
||||
- **Market Research**: Track industry trends and competitive dynamics
|
||||
- **Content Creation**: Discover trending topics and creative inspiration
|
||||
- **Investment Analysis**: Monitor market sentiment and hot sectors
|
||||
- **Reputation Monitoring**: Stay updated on brand and industry dynamics
|
||||
|
||||
## ⚡ Core Features
|
||||
|
||||
- **Lightweight Deployment**: Minimal resource footprint
|
||||
- **High Usability**: Simple and intuitive interface
|
||||
- **High Reliability**: Stable data acquisition and analysis
|
||||
- **Scalability**: Multiple deployment options supported
|
||||
|
||||
## 🛠️ Tech Stack
|
||||
|
||||
- Python backend development
|
||||
- SQLite/Cloud storage data management
|
||||
- AI analysis engine
|
||||
- RESTful API interface
|
||||
- Docker containerization support
|
||||
|
||||
---
|
||||
|
||||
**TrendRadar** - Making trend insights simple and efficient
|
||||
Reference in New Issue
Block a user