--- title: "alfred-workflow vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deanishe-alfred-workflow-vs-rohitg00-ai-engineering-from-scratch" tools: ["deanishe-alfred-workflow", "rohitg00-ai-engineering-from-scratch"] --- # alfred-workflow vs ai-engineering-from-scratch *GraphCanon updated Jul 15, 2026* ## Verdict Pick alfred-workflow when license: alfred-workflow is Other, ai-engineering-from-scratch is MIT; pick ai-engineering-from-scratch when license: ai-engineering-from-scratch is MIT, alfred-workflow is Other. [alfred-workflow](https://www.deanishe.net/alfred-workflow/) reports 3.0k GitHub stars, 236 forks, and 21 open issues, last pushed Jan 10, 2023. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 38k stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [alfred-workflow's repository](https://github.com/deanishe/alfred-workflow) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [alfred-workflow](/tools/deanishe-alfred-workflow.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Full-featured library for writing Alfred 3 & 4 workflows | Learn it. Build it. Ship it for others. | | Stars | 2,972 | 37,922 | | Forks | 236 | 6,329 | | Open issues | 21 | 96 | | Language | Python | Python | | Adopt for | - | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [alfred-workflow](/tools/deanishe-alfred-workflow.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1281d | 15d | | Open issues (now) | 21 | 96 | | Full report | [trust report](/tools/deanishe-alfred-workflow/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: ai-engineering-from-scratch - **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up - **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. ## Choose when ### Choose alfred-workflow if… - License: alfred-workflow is Other, ai-engineering-from-scratch is MIT. - Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3. - Leaner open-issue backlog (21). ### Choose ai-engineering-from-scratch if… - License: ai-engineering-from-scratch is MIT, alfred-workflow is Other. - Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Computer Vision, Developer Tools. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ## When NOT to use alfred-workflow - Last GitHub push was 1282 days ago (dormant maintenance, Jan 10, 2023). Validate activity before betting a new project on alfred-workflow. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use ai-engineering-from-scratch - If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. - When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ## Common questions ### What is the difference between alfred-workflow and ai-engineering-from-scratch? alfred-workflow: Full-featured library for writing Alfred 3 & 4 workflows. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories. ### When should I choose alfred-workflow over ai-engineering-from-scratch? Choose alfred-workflow over ai-engineering-from-scratch when License: alfred-workflow is Other, ai-engineering-from-scratch is MIT; Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3; Leaner open-issue backlog (21). ### When should I choose ai-engineering-from-scratch over alfred-workflow? Choose ai-engineering-from-scratch over alfred-workflow when License: ai-engineering-from-scratch is MIT, alfred-workflow is Other; Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Computer Vision, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I avoid alfred-workflow? Last GitHub push was 1282 days ago (dormant maintenance, Jan 10, 2023). Validate activity before betting a new project on alfred-workflow. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid ai-engineering-from-scratch? If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ### Is alfred-workflow or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 2,972). Stars measure visibility, not whether either tool fits your constraints. ### Are alfred-workflow and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (alfred-workflow: Other, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to alfred-workflow or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [alfred-workflow alternatives](/tools/deanishe-alfred-workflow/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([alfred-workflow markdown twin](/tools/deanishe-alfred-workflow/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/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/deanishe-alfred-workflow-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, alfred-workflow or ai-engineering-from-scratch? alfred-workflow: Dormant. ai-engineering-from-scratch: 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 alfred-workflow and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [alfred-workflow trust report](/tools/deanishe-alfred-workflow/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deanishe-alfred-workflow`](/api/graphcanon/graph?tool=deanishe-alfred-workflow) - 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/_