Comparison
awesome-ai-tools vs hold
Verdict
Pick awesome-ai-tools if awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing; pick hold if hOLD for monocular video analysis of hand-object interactions without prior object models.
Markdown twin · awesome-ai-tools alternatives · hold alternatives
GraphCanon updated Sep 24, 2026
5views this month
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Trust & integrity
| Signal | awesome-ai-tools | hold |
|---|---|---|
| Maintenance | Slowing (257d since push) As of Sep 15, 2026 · github_public_v1 | Slowing (197d since push) As of Sep 24, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 15, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 24, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- awesome-ai-tools
- A curated list of Artificial Intelligence Top Tools
- hold
- Method for joint reconstruction of articulated hands and objects from monocular videos
Stars
- awesome-ai-tools
- 6.2k
- hold
- 493
Forks
- awesome-ai-tools
- 2.2k
- hold
- 18
Open issues
- awesome-ai-tools
- 1.3k
- hold
- 10
Language
- awesome-ai-tools
- -
- hold
- Python
Adopt for
- awesome-ai-tools
- Awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing.
- hold
- HOLD for monocular video analysis of hand-object interactions without prior object models.
Persona
- awesome-ai-tools
- -
- hold
- -
Runtime
- awesome-ai-tools
- -
- hold
- -
License
- awesome-ai-tools
- MIT
- hold
- MIT
Last pushed
- awesome-ai-tools
- Dec 31, 2025
- hold
- Mar 10, 2026
Categories
- awesome-ai-tools
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio
- hold
- Computer Vision
Trust and health
Days since push
- awesome-ai-tools
- 257d
- hold
- 197d
Open issues (now)
- awesome-ai-tools
- 1.3k
- hold
- 10
Stars delta
- awesome-ai-tools
- +288 (30d)
- hold
- +4 (30d)
Open issues delta
- awesome-ai-tools
- +137 (30d)
- hold
- +1 (30d)
OSV dependency advisories
- awesome-ai-tools
- No lockfile (source not queried)
- hold
- Published findings
Full report
- awesome-ai-tools
- Trust report
- hold
- Trust report
Choose awesome-ai-tools if…
- Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice.
- Also covers AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio.
- When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management
When NOT to use awesome-ai-tools
- If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions
- When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here
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
- More recently updated (last pushed Mar 10, 2026).
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
awesome-ai-tools trust report →hold trust report →AI Agents category →Computer Vision category →Data & Retrieval category →Developer Tools category →Evaluation & Observability category →Inference & Serving category →Model Training category →Speech & Audio category →All comparisonsStack workflowsTrending tools
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mahseema/awesome-ai-tools) · observed Sep 20, 2026
- GitHub forks (mahseema/awesome-ai-tools) · observed Sep 20, 2026
- Last push (mahseema/awesome-ai-tools) · observed Dec 31, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (zc-alexfan/hold) · observed Sep 24, 2026
- GitHub forks (zc-alexfan/hold) · observed Sep 24, 2026
- Last push (zc-alexfan/hold) · observed Mar 10, 2026
- License file (MIT) · observed Sep 24, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-tools 6.2k · hold 493 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-ai-tools and hold?
- awesome-ai-tools: A curated list of Artificial Intelligence Top Tools. 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 awesome-ai-tools over hold?
- Choose awesome-ai-tools over hold when Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice; Also covers AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio; When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management.
- When should I choose hold over awesome-ai-tools?
- Choose hold over awesome-ai-tools 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; More recently updated (last pushed Mar 10, 2026).
- When should I avoid awesome-ai-tools?
- If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here
- 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 awesome-ai-tools or hold more popular on GitHub?
- awesome-ai-tools has more GitHub stars (6,200 vs 493). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-tools and hold open source?
- Yes - both are open-source projects on GitHub (awesome-ai-tools: MIT, hold: MIT).
- Where can I find alternatives to awesome-ai-tools or hold?
- GraphCanon lists graph-backed alternatives at awesome-ai-tools alternatives and hold alternatives (awesome-ai-tools 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, awesome-ai-tools or hold?
- awesome-ai-tools: Slowing. 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 awesome-ai-tools and hold?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-tools trust report; hold trust report.