--- title: "Prompt-Engineering-Guide vs ML-news-of-the-week" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-salvatorera-ml-news-of-the-week" tools: ["dair-ai-prompt-engineering-guide", "salvatorera-ml-news-of-the-week"] --- # Prompt-Engineering-Guide vs ML-news-of-the-week *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when license: Prompt-Engineering-Guide is MIT, ML-news-of-the-week is Apache-2.0; pick ML-news-of-the-week when license: ML-news-of-the-week is Apache-2.0, Prompt-Engineering-Guide is MIT. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [ML-news-of-the-week](https://github.com/SalvatoreRa/ML-news-of-the-week) has 182 stars, 12 forks, and 0 open issues, last pushed Jul 27, 2025. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [ML-news-of-the-week's repository](https://github.com/SalvatoreRa/ML-news-of-the-week). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [ML-news-of-the-week](/tools/salvatorera-ml-news-of-the-week.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | A collection of the the best ML and AI news every week (research, news, resources) | | Stars | 76,349 | 182 | | Forks | 8,361 | 12 | | Open issues | 274 | 0 | | Language | MDX | - | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, Vector Databases, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [ML-news-of-the-week](/tools/salvatorera-ml-news-of-the-week.md) | | --- | --- | --- | | Days since push | 121d | 349d | | Open issues (now) | 274 | 0 | | 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/salvatorera-ml-news-of-the-week/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - License: Prompt-Engineering-Guide is MIT, ML-news-of-the-week is Apache-2.0. - Tags unique to Prompt-Engineering-Guide: deep-learning, generative-ai, chatgpt, agent. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose ML-news-of-the-week if… - License: ML-news-of-the-week is Apache-2.0, Prompt-Engineering-Guide is MIT. - Tags unique to ML-news-of-the-week: ai, artificial-intelligence, nlp, machine-learning. - Also covers Vector Databases. ## 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 ML-news-of-the-week - Last GitHub push was 349 days ago (slowing maintenance, Jul 27, 2025). Validate activity before betting a new project on ML-news-of-the-week. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - 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 ML-news-of-the-week? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. ML-news-of-the-week: A collection of the the best ML and AI news every week (research, news, resources). See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over ML-news-of-the-week? Choose Prompt-Engineering-Guide over ML-news-of-the-week when License: Prompt-Engineering-Guide is MIT, ML-news-of-the-week is Apache-2.0; Tags unique to Prompt-Engineering-Guide: deep-learning, generative-ai, chatgpt, agent; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose ML-news-of-the-week over Prompt-Engineering-Guide? Choose ML-news-of-the-week over Prompt-Engineering-Guide when License: ML-news-of-the-week is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to ML-news-of-the-week: ai, artificial-intelligence, nlp, machine-learning; Also covers Vector Databases. ### 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 ML-news-of-the-week? Last GitHub push was 349 days ago (slowing maintenance, Jul 27, 2025). Validate activity before betting a new project on ML-news-of-the-week. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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 ML-news-of-the-week more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 182). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and ML-news-of-the-week open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, ML-news-of-the-week: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or ML-news-of-the-week? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [ML-news-of-the-week alternatives](/tools/salvatorera-ml-news-of-the-week/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [ML-news-of-the-week markdown twin](/tools/salvatorera-ml-news-of-the-week/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-salvatorera-ml-news-of-the-week.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 ML-news-of-the-week? Prompt-Engineering-Guide: Slowing. ML-news-of-the-week: 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 Prompt-Engineering-Guide and ML-news-of-the-week? 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); [ML-news-of-the-week trust report](/tools/salvatorera-ml-news-of-the-week/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/_