Home/Compare/pytorch vs hold

Comparison

pytorch vs hold

Verdict

Pick pytorch when license: pytorch is Other, hold is MIT; pick hold when license: hold is MIT, pytorch is Other.

Markdown twin · pytorch alternatives · hold alternatives

GraphCanon updated today

pytorch logo

pytorch

pytorch/pytorch

102kpushed Jul 11, 2026
vs
hold logo

hold

zc-alexfan/hold

486pushed Mar 10, 2026

Trust & integrity

Signalpytorchhold
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (122d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
9 low (9 low)
As of today · osv@v1

Tagline

pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
hold
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D

Stars

pytorch
102k
hold
486

Forks

pytorch
28k
hold
15

Open issues

pytorch
18k
hold
9

Language

pytorch
Python
hold
Python

Adopt for

pytorch
-
hold
-

Persona

pytorch
-
hold
-

Runtime

pytorch
-
hold
-

License

pytorch
Other
hold
MIT

Last pushed

pytorch
Jul 11, 2026
hold
Mar 10, 2026

Categories

pytorch
Computer Vision, Data & Retrieval, Model Training
hold
Computer Vision, Model Training, Vector Databases

Trust and health

Maintenance

pytorch
Very active (96%)
hold
Slowing (36%)

Days since push

pytorch
0d
hold
122d

Open issues (now)

pytorch
18k
hold
9

Owner type

pytorch
Organization
hold
User

Security scan

pytorch
No criticals
hold
9 low (9 low)

Full report

Choose pytorch if…

  • License: pytorch is Other, hold is MIT.
  • Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning.
  • Also covers Data & Retrieval.
  • pytorch ships Docker support for self-hosted deployment.

When NOT to use pytorch

  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose hold if…

  • License: hold is MIT, pytorch is Other.
  • Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality.
  • Also covers Vector Databases.

When NOT to use hold

  • Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: pytorch 102k · hold 486 (synced Jul 11, 2026).

Common questions

What is the difference between pytorch and hold?
pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. hold: [CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D. See the comparison table for live GitHub stats and shared categories.
When should I choose pytorch over hold?
Choose pytorch over hold when License: pytorch is Other, hold is MIT; Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning; Also covers Data & Retrieval; pytorch ships Docker support for self-hosted deployment.
When should I choose hold over pytorch?
Choose hold over pytorch when License: hold is MIT, pytorch is Other; Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality; Also covers Vector Databases.
When should I avoid pytorch?
Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid hold?
Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is pytorch or hold more popular on GitHub?
pytorch has more GitHub stars (101,752 vs 486). Stars measure visibility, not whether either tool fits your constraints.
Are pytorch and hold open source?
Yes - both are open-source projects on GitHub (pytorch: Other, hold: MIT).
Where can I find alternatives to pytorch or hold?
GraphCanon lists graph-backed alternatives at pytorch alternatives and hold alternatives (pytorch 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, pytorch or hold?
pytorch: 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 pytorch and hold?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pytorch trust report; hold trust report.