sansan0/TrendRadar
TrendRadar
⭐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。
Usage guide
TrendRadar is an open-source project around bark, data-analysis, docker with 60,003 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Python, useful for judging integration effort in a similar stack.
- GitHub detected the GPL-3.0 repository license, which does not by itself confirm commercial permission. Review repository obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating TrendRadar for Python AI workflows.
- Comparing a GitHub project with 60,003 stars and current repository activity.
Pros
- TrendRadar has visible GitHub traction with 60,003 stars. Topics: ai, bark, data-analysis.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the GPL-3.0 terms fit your use case.
Production readiness
TrendRadar should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GPL-3.0 is reported by GitHub; review the repository license before redistribution or commercial use.
TrendRadar architecture preview
TrendRadar's main path starts at the entry surface, runs through MCP tool router, combines LLM / model client, Runtime context, GitHub / MCP tools / Slack / Telegram / WeChat, and returns User-facing result.
Entry
Web / product entry
Users start from a web UI, hosted product surface, or browser-based workflow.
https://sansan0.github.io/TrendRadar/
Runtime
MCP tool router
The router exposes tools and context through Model Context Protocol boundaries.
MCP
Model
LLM / model client
The project connects its core runtime to local models or hosted AI APIs when model inference is required.
model signal
Context
Runtime context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub / MCP tools / Slack / Telegram / WeChat
Tool adapters let the runtime act outside the model through GitHub / MCP tools / Slack / Telegram / WeChat.
GitHub, MCP tools, Slack, Telegram, WeChat
Output
User-facing result
The final output is returned to the user, workflow, API caller, or downstream system.
output
Featured video
小橙子AI工作流
AI自动监控全网热点+实时推送，自媒体人必备工具 ｜ TrendRadar 系列教程（2）Docker 部署
1,472 views · 2025-12-30
Install tutorial
Before you install
- Python runtime and an isolated virtual environment
- A clean working directory for the first test run
Check the runtime environment
TrendRadar depends on a Python-style environment. Use venv, conda, or a container to keep dependencies isolated.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/sansan0/TrendRadar.gitInstall or build dependencies
No extra setup command was detected. Check the README before adding custom configuration.
Adoption guidance and sources
Practical use cases
⭐AI-driven public opinion & trend monitor with multi-platform aggregat
This is one of the documented reasons to evaluate TrendRadar before choosing a stack.
Focus area: ai
This is one of the documented reasons to evaluate TrendRadar before choosing a stack.
MCP project comparison
Compare TrendRadar with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official TrendRadar setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented TrendRadar example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is TrendRadar?
TrendRadar is an open-source mcp project. ⭐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。
How do I install TrendRadar?
Start with the official README. The first detected setup step is: git clone https://github.com/sansan0/TrendRadar.git.
Is TrendRadar beginner-friendly?
If you already know the Python ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can TrendRadar be used commercially?
GitHub detected the GPL-3.0 repository license, which does not by itself confirm commercial permission. Review repository obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does TrendRadar need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt TrendRadar?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.