Comparison
pytorch-lightning vs hold
Verdict
Pick pytorch-lightning when license: pytorch-lightning is Apache-2.0, hold is MIT; pick hold when license: hold is MIT, pytorch-lightning is Apache-2.0.
Markdown twin · pytorch-lightning alternatives · hold alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | pytorch-lightning | hold |
|---|---|---|
| Maintenance | Very active (1d 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-lightning
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
- 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-lightning
- 31k
- hold
- 486
Forks
- pytorch-lightning
- 3.8k
- hold
- 15
Open issues
- pytorch-lightning
- 1.0k
- hold
- 9
Language
- pytorch-lightning
- Python
- hold
- Python
Adopt for
- pytorch-lightning
- -
- hold
- -
Persona
- pytorch-lightning
- -
- hold
- -
Runtime
- pytorch-lightning
- -
- hold
- -
License
- pytorch-lightning
- Apache-2.0
- hold
- MIT
Last pushed
- pytorch-lightning
- Jul 10, 2026
- hold
- Mar 10, 2026
Categories
- pytorch-lightning
- Model Training, Computer Vision
- hold
- Vector Databases, Model Training, Computer Vision
Trust and health
Maintenance
- pytorch-lightning
- Very active (96%)
- hold
- Slowing (36%)
Days since push
- pytorch-lightning
- 1d
- hold
- 122d
Open issues (now)
- pytorch-lightning
- 1.0k
- hold
- 9
Owner type
- pytorch-lightning
- Organization
- hold
- User
Security scan
- pytorch-lightning
- No criticals
- hold
- 9 low (9 low)
Full report
- pytorch-lightning
- Trust report
- hold
- Trust report
Choose pytorch-lightning if…
- License: pytorch-lightning is Apache-2.0, hold is MIT.
- Tags unique to pytorch-lightning: data-science, deep-learning, machine-learning, python.
- More GitHub stars (31k vs 486) - visibility, not fit.
When NOT to use pytorch-lightning
- 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-lightning is Apache-2.0.
- Tags unique to hold: 3d-reconstruction, hand-object-reconstruction, hand-object-interaction, hand-tracking.
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Lightning-AI/pytorch-lightning) · observed Jul 11, 2026
- GitHub forks (Lightning-AI/pytorch-lightning) · observed Jul 11, 2026
- Last push (Lightning-AI/pytorch-lightning) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zc-alexfan/hold) · observed Jul 11, 2026
- GitHub forks (zc-alexfan/hold) · observed Jul 11, 2026
- Last push (zc-alexfan/hold) · observed Mar 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pytorch-lightning 31k · hold 486 (synced Jul 11, 2026).
Common questions
- What is the difference between pytorch-lightning and hold?
- pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. 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-lightning over hold?
- Choose pytorch-lightning over hold when License: pytorch-lightning is Apache-2.0, hold is MIT; Tags unique to pytorch-lightning: data-science, deep-learning, machine-learning, python; More GitHub stars (31k vs 486) - visibility, not fit.
- When should I choose hold over pytorch-lightning?
- Choose hold over pytorch-lightning when License: hold is MIT, pytorch-lightning is Apache-2.0; Tags unique to hold: 3d-reconstruction, hand-object-reconstruction, hand-object-interaction, hand-tracking; Also covers Vector Databases.
- When should I avoid pytorch-lightning?
- 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is pytorch-lightning or hold more popular on GitHub?
- pytorch-lightning has more GitHub stars (31,233 vs 486). Stars measure visibility, not whether either tool fits your constraints.
- Are pytorch-lightning and hold open source?
- Yes - both are open-source projects on GitHub (pytorch-lightning: Apache-2.0, hold: MIT).
- Where can I find alternatives to pytorch-lightning or hold?
- GraphCanon lists graph-backed alternatives at pytorch-lightning alternatives and hold alternatives (pytorch-lightning 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-lightning or hold?
- pytorch-lightning: 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-lightning and hold?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pytorch-lightning trust report; hold trust report.