Comparison
ruoyi-ai vs Prompt-Engineering-Guide
Verdict
Pick ruoyi-ai when ruoyi-ai is primarily Java; Prompt-Engineering-Guide is MDX; pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; ruoyi-ai is Java.
Markdown twin · ruoyi-ai alternatives · Prompt-Engineering-Guide alternatives
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Trust & integrity
| Signal | ruoyi-ai | Prompt-Engineering-Guide |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (121d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No published findings from this source as of 2026-07-11 As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ruoyi-ai
- 面向企业级市场的一站式AI应用开发框架，支持多厂商大模型统一接入与管理，具备安全可控的企业知识库与高精度检索优化能力，提供可视化流程编排、自主决策智能体与多智能体协同调度，兼容主流 Agent Skill 协议，帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。
- Prompt-Engineering-Guide
- Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents
Stars
- ruoyi-ai
- 5.5k
- Prompt-Engineering-Guide
- 76k
Forks
- ruoyi-ai
- 1.4k
- Prompt-Engineering-Guide
- 8.4k
Open issues
- ruoyi-ai
- 8
- Prompt-Engineering-Guide
- 274
Language
- ruoyi-ai
- Java
- Prompt-Engineering-Guide
- MDX
Adopt for
- ruoyi-ai
- -
- Prompt-Engineering-Guide
- Decision-critical facts for Prompt-Engineering-Guide
Persona
- ruoyi-ai
- -
- Prompt-Engineering-Guide
- -
Runtime
- ruoyi-ai
- -
- Prompt-Engineering-Guide
- -
License
- ruoyi-ai
- MIT
- Prompt-Engineering-Guide
- MIT
Last pushed
- ruoyi-ai
- Jul 15, 2026
- Prompt-Engineering-Guide
- Mar 11, 2026
Categories
- ruoyi-ai
- AI Agents, Computer Vision, LLM Frameworks
- Prompt-Engineering-Guide
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- ruoyi-ai
- Very active (96%)
- Prompt-Engineering-Guide
- Slowing (36%)
Days since push
- ruoyi-ai
- 0d
- Prompt-Engineering-Guide
- 121d
Open issues (now)
- ruoyi-ai
- 8
- Prompt-Engineering-Guide
- 274
Owner type
- ruoyi-ai
- User
- Prompt-Engineering-Guide
- Organization
OSV dependency advisories
- ruoyi-ai
- No lockfile (source not queried)
- Prompt-Engineering-Guide
- No published findings from this source as of 2026-07-11
Full report
- ruoyi-ai
- Trust report
- Prompt-Engineering-Guide
- Trust report
Choose ruoyi-ai if…
- ruoyi-ai is primarily Java; Prompt-Engineering-Guide is MDX.
- Tags unique to ruoyi-ai: ai, java, knowledge, mcp.
- Also covers Computer Vision.
When NOT to use ruoyi-ai
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose Prompt-Engineering-Guide if…
- Prompt-Engineering-Guide is primarily MDX; ruoyi-ai is Java.
- Tags unique to Prompt-Engineering-Guide: agents, ai-agents, chatgpt, deep-learning.
- When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
When NOT to use Prompt-Engineering-Guide
- Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting.
- Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ageerle/ruoyi-ai) · observed Jul 15, 2026
- GitHub forks (ageerle/ruoyi-ai) · observed Jul 15, 2026
- Last push (ageerle/ruoyi-ai) · observed Jul 15, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (dair-ai/Prompt-Engineering-Guide) · observed Jul 11, 2026
- GitHub forks (dair-ai/Prompt-Engineering-Guide) · observed Jul 11, 2026
- Last push (dair-ai/Prompt-Engineering-Guide) · observed Mar 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ruoyi-ai 5.5k · Prompt-Engineering-Guide 76k (synced Jul 15, 2026).
Common questions
- What is the difference between ruoyi-ai and Prompt-Engineering-Guide?
- ruoyi-ai: 面向企业级市场的一站式AI应用开发框架，支持多厂商大模型统一接入与管理，具备安全可控的企业知识库与高精度检索优化能力，提供可视化流程编排、自主决策智能体与多智能体协同调度，兼容主流 Agent Skill 协议，帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。. Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose ruoyi-ai over Prompt-Engineering-Guide?
- Choose ruoyi-ai over Prompt-Engineering-Guide when ruoyi-ai is primarily Java; Prompt-Engineering-Guide is MDX; Tags unique to ruoyi-ai: ai, java, knowledge, mcp; Also covers Computer Vision.
- When should I choose Prompt-Engineering-Guide over ruoyi-ai?
- Choose Prompt-Engineering-Guide over ruoyi-ai when Prompt-Engineering-Guide is primarily MDX; ruoyi-ai is Java; Tags unique to Prompt-Engineering-Guide: agents, ai-agents, chatgpt, deep-learning; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
- When should I avoid ruoyi-ai?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid Prompt-Engineering-Guide?
- Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.
- Is ruoyi-ai or Prompt-Engineering-Guide more popular on GitHub?
- Prompt-Engineering-Guide has more GitHub stars (76,349 vs 5,514). Stars measure visibility, not whether either tool fits your constraints.
- Are ruoyi-ai and Prompt-Engineering-Guide open source?
- Yes - both are open-source projects on GitHub (ruoyi-ai: MIT, Prompt-Engineering-Guide: MIT).
- Where can I find alternatives to ruoyi-ai or Prompt-Engineering-Guide?
- GraphCanon lists graph-backed alternatives at ruoyi-ai alternatives and Prompt-Engineering-Guide alternatives (ruoyi-ai markdown twin, Prompt-Engineering-Guide markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ruoyi-ai or Prompt-Engineering-Guide?
- ruoyi-ai: Very active. Prompt-Engineering-Guide: Slowing. 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 ruoyi-ai and Prompt-Engineering-Guide?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ruoyi-ai trust report; Prompt-Engineering-Guide trust report.