---
title: "prompt-patterns vs TrendRadar"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/phodal-prompt-patterns-vs-sansan0-trendradar"
tools: ["phodal-prompt-patterns", "sansan0-trendradar"]
---

# prompt-patterns vs TrendRadar

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick prompt-patterns when requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.; pick TrendRadar when pricing: TrendRadar is available under the GPL-3.0 license, which means it is free to use, but users must comply with the terms of the GPL-3.0 license if they distribute.

[prompt-patterns](https://prompt-patterns.phodal.com) reports 3.1k GitHub stars, 198 forks, and 0 open issues, last pushed Mar 22, 2023. [TrendRadar](https://trendradar.sandev.cc) has 62k stars, 25k forks, and 58 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [prompt-patterns's repository](https://github.com/phodal/prompt-patterns) and [TrendRadar's repository](https://github.com/sansan0/TrendRadar).

| | [prompt-patterns](/tools/phodal-prompt-patterns.md) | [TrendRadar](/tools/sansan0-trendradar.md) |
| --- | --- | --- |
| Tagline | Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt | AI-driven public opinion and trend monitor with multi-platform aggregation, RSS, and smart alerts. |
| Stars | 3,091 | 62,357 |
| Forks | 198 | 24,882 |
| Open issues | 0 | 58 |
| Language | - | Python |
| Adopt for | - | TrendRadar is an AI-driven tool for monitoring public opinion and trends across multiple platforms, including RSS feeds. It supports smart alerts and can be deployed using Docker. The tool can be extended with AI-based N |
| Persona | - | - |
| Runtime | - | - |
| License | - | GPL-3.0 |
| Categories | Evaluation & Observability, LLM Frameworks | Data & Retrieval, Evaluation & Observability, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [prompt-patterns](/tools/phodal-prompt-patterns.md) | [TrendRadar](/tools/sansan0-trendradar.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 1278d | 5d |
| Open issues (now) | 0 | 58 |
| Stars delta | -4 (30d) | +870 (30d) |
| Full report | [trust report](/tools/phodal-prompt-patterns/trust.md) | [trust report](/tools/sansan0-trendradar/trust.md) |

## Shared compatibility

- **ChatGPT**: [prompt-patterns](/tools/phodal-prompt-patterns.md) - Works with ChatGPT; [TrendRadar](/tools/sansan0-trendradar.md) - Works with ChatGPT

## Decision facts: prompt-patterns

- **Requirements:** The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.

## Decision facts: TrendRadar

- **Pricing:** freemium - TrendRadar is available under the GPL-3.0 license, which means it is free to use, but users must comply with the terms of the GPL-3.0 license if they distribute the software.
- **Requirements:** Min 2 GB RAM; Requires Docker; TrendRadar requires Docker for deployment and can be extended with AI analysis services through the MCP architecture.
- **Adopt for:** TrendRadar is an AI-driven tool for monitoring public opinion and trends across multiple platforms, including RSS feeds. It supports smart alerts and can be deployed using Docker. The tool can be extended with AI-based N

## Choose when

### Choose prompt-patterns if…

- Requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information..
- Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion.
- Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure.

### Choose TrendRadar if…

- Pricing: TrendRadar is available under the GPL-3.0 license, which means it is free to use, but users must comply with the terms of the GPL-3.0 license if they distribute the software..
- Requirements: Min 2 GB RAM; Requires Docker; TrendRadar requires Docker for deployment and can be extended with AI analysis services through the MCP architecture..
- Tags unique to TrendRadar: ai, docker, hot-news, llm.
- Also covers Data & Retrieval.
- When you need to monitor public opinion and trends across multiple platforms, including RSS feeds, and require smart alerts for timely notifications.

## When NOT to use prompt-patterns

- Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks.
- Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments.

## When NOT to use TrendRadar

- If you do not require AI-driven analysis services and only need basic monitoring and alerting capabilities, as TrendRadar includes AI analysis which may be unnecessary overhead.
- When you are looking for a tool that does not require Docker for deployment, as TrendRadar's deployment relies on Docker containers.
- If you need a tool that supports a wider range of platforms beyond what TrendRadar offers, as it may not cover all the platforms you are interested in monitoring.

## Common questions

### What is the difference between prompt-patterns and TrendRadar?

prompt-patterns: Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt. TrendRadar: AI-driven public opinion and trend monitor with multi-platform aggregation, RSS, and smart alerts.. See the comparison table for live GitHub stats and shared categories.

### When should I choose prompt-patterns over TrendRadar?

Choose prompt-patterns over TrendRadar when Requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.; Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion; Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure.

### When should I choose TrendRadar over prompt-patterns?

Choose TrendRadar over prompt-patterns when Pricing: TrendRadar is available under the GPL-3.0 license, which means it is free to use, but users must comply with the terms of the GPL-3.0 license if they distribute the software.; Requirements: Min 2 GB RAM; Requires Docker; TrendRadar requires Docker for deployment and can be extended with AI analysis services through the MCP architecture.; Tags unique to TrendRadar: ai, docker, hot-news, llm; Also covers Data & Retrieval; When you need to monitor public opinion and trends across multiple platforms, including RSS feeds, and require smart alerts for timely notifications.

### When should I avoid prompt-patterns?

Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks. Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments.

### When should I avoid TrendRadar?

If you do not require AI-driven analysis services and only need basic monitoring and alerting capabilities, as TrendRadar includes AI analysis which may be unnecessary overhead. When you are looking for a tool that does not require Docker for deployment, as TrendRadar's deployment relies on Docker containers. If you need a tool that supports a wider range of platforms beyond what TrendRadar offers, as it may not cover all the platforms you are interested in monitoring.

### Is prompt-patterns or TrendRadar more popular on GitHub?

TrendRadar has more GitHub stars (62,357 vs 3,091). Stars measure visibility, not whether either tool fits your constraints.

### Are prompt-patterns and TrendRadar open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to prompt-patterns or TrendRadar?

GraphCanon lists graph-backed alternatives at [prompt-patterns alternatives](/tools/phodal-prompt-patterns/alternatives) and [TrendRadar alternatives](/tools/sansan0-trendradar/alternatives) ([prompt-patterns markdown twin](/tools/phodal-prompt-patterns/alternatives.md), [TrendRadar markdown twin](/tools/sansan0-trendradar/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/phodal-prompt-patterns-vs-sansan0-trendradar.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, prompt-patterns or TrendRadar?

prompt-patterns: Dormant. TrendRadar: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for prompt-patterns and TrendRadar?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompt-patterns trust report](/tools/phodal-prompt-patterns/trust); [TrendRadar trust report](/tools/sansan0-trendradar/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=phodal-prompt-patterns`](/api/graphcanon/graph?tool=phodal-prompt-patterns)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
