--- title: "ai-engineering-from-scratch vs hold" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/rohitg00-ai-engineering-from-scratch-vs-zc-alexfan-hold" tools: ["rohitg00-ai-engineering-from-scratch", "zc-alexfan-hold"] --- # ai-engineering-from-scratch vs hold *GraphCanon updated Aug 16, 2026* ## Verdict Pick ai-engineering-from-scratch if specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up; pick hold if hOLD for monocular video analysis of hand-object interactions without prior object models. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) reports 47k GitHub stars, 8.2k forks, and 107 open issues, last pushed Aug 10, 2026. [hold](https://zc-alexfan.github.io/hold) has 489 stars, 16 forks, and 9 open issues, last pushed Mar 10, 2026. Figures are from public GitHub metadata via [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch) and [hold's repository](https://github.com/zc-alexfan/hold). | | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Tagline | Learn it. Build it. Ship it for others. | Method for joint reconstruction of articulated hands and objects from monocular videos | | Stars | 46,862 | 489 | | Forks | 8,195 | 16 | | Open issues | 107 | 9 | | Language | Python | Python | | Adopt for | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | HOLD for monocular video analysis of hand-object interactions without prior object models. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 6d | 143d | | Open issues (now) | 107 | 9 | | Stars delta | +8.3k (30d) | Unknown | | Open issues delta | +9 (30d) | Unknown | | Full report | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | [trust report](/tools/zc-alexfan-hold/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. ## Decision facts: hold - **Adopt for:** HOLD for monocular video analysis of hand-object interactions without prior object models. ## Choose when ### Choose ai-engineering-from-scratch if… - 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, deep-learning, from-scratch. - Also covers AI Agents, Developer Tools, LLM Frameworks. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### Choose hold if… - Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality. - When no prior knowledge of object shapes is available but joint 3D reconstruction of hands manipulating objects from single-view videos is needed - Leaner open-issue backlog (9). ## 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. ## When NOT to use hold - If there are pre-scanned object models that could enhance accuracy beyond self-reconstruction capabilities - In scenarios where the computational resources for preprocessing and training on custom datasets are insufficient ## Common questions ### What is the difference between ai-engineering-from-scratch and hold? ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. hold: Method for joint reconstruction of articulated hands and objects from monocular videos. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-engineering-from-scratch over hold? Choose ai-engineering-from-scratch over hold when 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, deep-learning, from-scratch; Also covers AI Agents, Developer Tools, LLM Frameworks; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I choose hold over ai-engineering-from-scratch? Choose hold over ai-engineering-from-scratch when Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality; When no prior knowledge of object shapes is available but joint 3D reconstruction of hands manipulating objects from single-view videos is needed; Leaner open-issue backlog (9). ### 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. ### When should I avoid hold? If there are pre-scanned object models that could enhance accuracy beyond self-reconstruction capabilities In scenarios where the computational resources for preprocessing and training on custom datasets are insufficient ### Is ai-engineering-from-scratch or hold more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (46,862 vs 489). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-engineering-from-scratch and hold open source? Yes - both are open-source projects on GitHub (ai-engineering-from-scratch: MIT, hold: MIT). ### Where can I find alternatives to ai-engineering-from-scratch or hold? GraphCanon lists graph-backed alternatives at [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) and [hold alternatives](/tools/zc-alexfan-hold/alternatives) ([ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/alternatives.md), [hold markdown twin](/tools/zc-alexfan-hold/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/rohitg00-ai-engineering-from-scratch-vs-zc-alexfan-hold.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-engineering-from-scratch or hold? ai-engineering-from-scratch: Very active. hold: 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 ai-engineering-from-scratch and hold? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust); [hold trust report](/tools/zc-alexfan-hold/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=rohitg00-ai-engineering-from-scratch`](/api/graphcanon/graph?tool=rohitg00-ai-engineering-from-scratch) - 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/_