Comparison
pytorch-lightning vs 3D-Mem
Verdict
Pick pytorch-lightning when license: pytorch-lightning is Apache-2.0, 3D-Mem is MIT; pick 3D-Mem when license: 3D-Mem is MIT, pytorch-lightning is Apache-2.0.
Markdown twin · pytorch-lightning alternatives · 3D-Mem alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | pytorch-lightning | 3D-Mem |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Slowing (281d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No lockfile As of today · none |
Tagline
- pytorch-lightning
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
- 3D-Mem
- [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning"
Stars
- pytorch-lightning
- 31k
- 3D-Mem
- 264
Forks
- pytorch-lightning
- 3.8k
- 3D-Mem
- 17
Open issues
- pytorch-lightning
- 1.0k
- 3D-Mem
- 3
Language
- pytorch-lightning
- Python
- 3D-Mem
- Python
Adopt for
- pytorch-lightning
- -
- 3D-Mem
- -
Persona
- pytorch-lightning
- -
- 3D-Mem
- -
Runtime
- pytorch-lightning
- -
- 3D-Mem
- -
License
- pytorch-lightning
- Apache-2.0
- 3D-Mem
- MIT
Last pushed
- pytorch-lightning
- Jul 10, 2026
- 3D-Mem
- Oct 2, 2025
Categories
- pytorch-lightning
- Model Training, Computer Vision
- 3D-Mem
- Vector Databases, Model Training, Computer Vision
Trust and health
Maintenance
- pytorch-lightning
- Very active (96%)
- 3D-Mem
- Slowing (36%)
Days since push
- pytorch-lightning
- 1d
- 3D-Mem
- 281d
Open issues (now)
- pytorch-lightning
- 1.0k
- 3D-Mem
- 3
Security scan
- pytorch-lightning
- No criticals
- 3D-Mem
- No lockfile
Full report
- pytorch-lightning
- Trust report
- 3D-Mem
- Trust report
Shared compatibility
- Python · pytorch-lightning: Python runtime · 3D-Mem: Python runtime
Choose pytorch-lightning if…
- License: pytorch-lightning is Apache-2.0, 3D-Mem is MIT.
- Tags unique to pytorch-lightning: data-science, deep-learning, artificial-intelligence, machine-learning.
- More GitHub stars (31k vs 264) - 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 3D-Mem if…
- License: 3D-Mem is MIT, pytorch-lightning is Apache-2.0.
- Tags unique to 3D-Mem: spatial-intelligence, embodied-ai, computer-vision.
- Also covers Vector Databases.
When NOT to use 3D-Mem
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem.
- 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 (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- GitHub forks (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- Last push (UMass-Embodied-AGI/3D-Mem) · observed Oct 2, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pytorch-lightning 31k · 3D-Mem 264 (synced Jul 11, 2026).
Common questions
- What is the difference between pytorch-lightning and 3D-Mem?
- pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. 3D-Mem: [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning". See the comparison table for live GitHub stats and shared categories.
- When should I choose pytorch-lightning over 3D-Mem?
- Choose pytorch-lightning over 3D-Mem when License: pytorch-lightning is Apache-2.0, 3D-Mem is MIT; Tags unique to pytorch-lightning: data-science, deep-learning, artificial-intelligence, machine-learning; More GitHub stars (31k vs 264) - visibility, not fit.
- When should I choose 3D-Mem over pytorch-lightning?
- Choose 3D-Mem over pytorch-lightning when License: 3D-Mem is MIT, pytorch-lightning is Apache-2.0; Tags unique to 3D-Mem: spatial-intelligence, embodied-ai, computer-vision; 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 3D-Mem?
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem. 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 3D-Mem more popular on GitHub?
- pytorch-lightning has more GitHub stars (31,233 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are pytorch-lightning and 3D-Mem open source?
- Yes - both are open-source projects on GitHub (pytorch-lightning: Apache-2.0, 3D-Mem: MIT).
- Where can I find alternatives to pytorch-lightning or 3D-Mem?
- GraphCanon lists graph-backed alternatives at pytorch-lightning alternatives and 3D-Mem alternatives (pytorch-lightning markdown twin, 3D-Mem 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 3D-Mem?
- pytorch-lightning: Very active. 3D-Mem: 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 3D-Mem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pytorch-lightning trust report; 3D-Mem trust report.