--- title: "Prompt-Engineering-Guide vs DecryptPrompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-dsxiangli-decryptprompt" tools: ["dair-ai-prompt-engineering-guide", "dsxiangli-decryptprompt"] --- # Prompt-Engineering-Guide vs DecryptPrompt *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai; pick DecryptPrompt when tags unique to DecryptPrompt: chain-of-thought, llm, few-shot-learning, instruction-tuning. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [DecryptPrompt](https://github.com/DSXiangLi/DecryptPrompt) has 3.4k stars, 322 forks, and 1 open issues, last pushed May 6, 2026. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [DecryptPrompt's repository](https://github.com/DSXiangLi/DecryptPrompt). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [DecryptPrompt](/tools/dsxiangli-decryptprompt.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | 总结Prompt&LLM论文，开源数据&模型，AIGC应用 | | Stars | 76,349 | 3,422 | | Forks | 8,361 | 322 | | Open issues | 274 | 1 | | Language | MDX | - | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [DecryptPrompt](/tools/dsxiangli-decryptprompt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 121d | 66d | | Open issues (now) | 274 | 1 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/dsxiangli-decryptprompt/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. - More GitHub stars (76k vs 3.4k) - visibility, not fit. ### Choose DecryptPrompt if… - Tags unique to DecryptPrompt: chain-of-thought, llm, few-shot-learning, instruction-tuning. - More recently updated (last pushed May 6, 2026). ## 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. ## When NOT to use DecryptPrompt - 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. ## Common questions ### What is the difference between Prompt-Engineering-Guide and DecryptPrompt? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. DecryptPrompt: 总结Prompt&LLM论文，开源数据&模型，AIGC应用. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over DecryptPrompt? Choose Prompt-Engineering-Guide over DecryptPrompt when Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques; More GitHub stars (76k vs 3.4k) - visibility, not fit. ### When should I choose DecryptPrompt over Prompt-Engineering-Guide? Choose DecryptPrompt over Prompt-Engineering-Guide when Tags unique to DecryptPrompt: chain-of-thought, llm, few-shot-learning, instruction-tuning; More recently updated (last pushed May 6, 2026). ### 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. ### When should I avoid DecryptPrompt? 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. ### Is Prompt-Engineering-Guide or DecryptPrompt more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 3,422). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and DecryptPrompt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Prompt-Engineering-Guide or DecryptPrompt? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [DecryptPrompt alternatives](/tools/dsxiangli-decryptprompt/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [DecryptPrompt markdown twin](/tools/dsxiangli-decryptprompt/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/dair-ai-prompt-engineering-guide-vs-dsxiangli-decryptprompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Prompt-Engineering-Guide or DecryptPrompt? Prompt-Engineering-Guide: Slowing. DecryptPrompt: Steady. 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-Engineering-Guide and DecryptPrompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Prompt-Engineering-Guide trust report](/tools/dair-ai-prompt-engineering-guide/trust); [DecryptPrompt trust report](/tools/dsxiangli-decryptprompt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide`](/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide) - 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/_