Comparison
ai-engineering-from-scratch vs hold
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.
Markdown twin · ai-engineering-from-scratch alternatives · hold alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-engineering-from-scratch | hold |
|---|---|---|
| Maintenance | Very active (6d since push) As of 1w · github_public_v1 | Slowing (143d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 3w · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- ai-engineering-from-scratch
- 47k
- hold
- 489
Forks
- ai-engineering-from-scratch
- 8.2k
- hold
- 16
Open issues
- ai-engineering-from-scratch
- 107
- hold
- 9
Language
- ai-engineering-from-scratch
- Python
- hold
- Python
Adopt for
- ai-engineering-from-scratch
- Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up.
- hold
- HOLD for monocular video analysis of hand-object interactions without prior object models.
Persona
- ai-engineering-from-scratch
- -
- hold
- -
Runtime
- ai-engineering-from-scratch
- -
- hold
- -
License
- ai-engineering-from-scratch
- MIT
- hold
- MIT
Last pushed
- ai-engineering-from-scratch
- Aug 10, 2026
- hold
- Mar 10, 2026
Categories
- ai-engineering-from-scratch
- AI Agents, Computer Vision, Developer Tools, LLM Frameworks
- hold
- Computer Vision
Trust and health
Maintenance
- ai-engineering-from-scratch
- Very active (96%)
- hold
- Slowing (36%)
Days since push
- ai-engineering-from-scratch
- 6d
- hold
- 143d
Open issues (now)
- ai-engineering-from-scratch
- 107
- hold
- 9
Stars delta
- ai-engineering-from-scratch
- +8.3k (30d)
- hold
- Unknown
Open issues delta
- ai-engineering-from-scratch
- +9 (30d)
- hold
- Unknown
Full report
- ai-engineering-from-scratch
- Trust report
- hold
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (rohitg00/ai-engineering-from-scratch) · observed Aug 16, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Aug 16, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Aug 10, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 2026
- GitHub stars (zc-alexfan/hold) · observed Aug 1, 2026
- GitHub forks (zc-alexfan/hold) · observed Aug 1, 2026
- Last push (zc-alexfan/hold) · observed Mar 10, 2026
- License file (MIT) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-engineering-from-scratch 47k · hold 489 (synced Aug 16, 2026).
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-scratchrepository 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 and hold alternatives (ai-engineering-from-scratch markdown twin, hold markdown twin), 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 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; hold trust report.