--- title: "Prompt-Engineering-Guide vs thinkgpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-jina-ai-thinkgpt" tools: ["dair-ai-prompt-engineering-guide", "jina-ai-thinkgpt"] --- # Prompt-Engineering-Guide vs thinkgpt *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; thinkgpt is Python; pick thinkgpt when thinkgpt is primarily Python; Prompt-Engineering-Guide is MDX. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [thinkgpt](https://github.com/jina-ai/thinkgpt) has 1.6k stars, 133 forks, and 16 open issues, last pushed May 23, 2024. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [thinkgpt's repository](https://github.com/jina-ai/thinkgpt). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [thinkgpt](/tools/jina-ai-thinkgpt.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | Agent techniques to augment your LLM and push it beyong its limits | | Stars | 76,349 | 1,583 | | Forks | 8,361 | 133 | | Open issues | 274 | 16 | | Language | MDX | Python | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [thinkgpt](/tools/jina-ai-thinkgpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 121d | 778d | | Open issues (now) | 274 | 16 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/jina-ai-thinkgpt/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - Prompt-Engineering-Guide is primarily MDX; thinkgpt is Python. - License: Prompt-Engineering-Guide is MIT, thinkgpt is Apache-2.0. - 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. ### Choose thinkgpt if… - thinkgpt is primarily Python; Prompt-Engineering-Guide is MDX. - License: thinkgpt is Apache-2.0, Prompt-Engineering-Guide is MIT. - Tags unique to thinkgpt: python. ## 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 thinkgpt - Last GitHub push was 779 days ago (dormant maintenance, May 23, 2024). Validate activity before betting a new project on thinkgpt. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between Prompt-Engineering-Guide and thinkgpt? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. thinkgpt: Agent techniques to augment your LLM and push it beyong its limits. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over thinkgpt? Choose Prompt-Engineering-Guide over thinkgpt when Prompt-Engineering-Guide is primarily MDX; thinkgpt is Python; License: Prompt-Engineering-Guide is MIT, thinkgpt is Apache-2.0; 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. ### When should I choose thinkgpt over Prompt-Engineering-Guide? Choose thinkgpt over Prompt-Engineering-Guide when thinkgpt is primarily Python; Prompt-Engineering-Guide is MDX; License: thinkgpt is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to thinkgpt: python. ### 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 thinkgpt? Last GitHub push was 779 days ago (dormant maintenance, May 23, 2024). Validate activity before betting a new project on thinkgpt. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is Prompt-Engineering-Guide or thinkgpt more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 1,583). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and thinkgpt open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, thinkgpt: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or thinkgpt? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [thinkgpt alternatives](/tools/jina-ai-thinkgpt/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [thinkgpt markdown twin](/tools/jina-ai-thinkgpt/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-jina-ai-thinkgpt.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 thinkgpt? Prompt-Engineering-Guide: Slowing. thinkgpt: Dormant. 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 thinkgpt? 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); [thinkgpt trust report](/tools/jina-ai-thinkgpt/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/_