Comparison
doubletake vs pytorch
Verdict
Pick doubletake when tags unique to doubletake: cost-volume, mvs, ai, depth-estimation; pick pytorch when tags unique to pytorch: autograd, deep-learning, gpu, neural-network.
Markdown twin · doubletake alternatives · pytorch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | doubletake | pytorch |
|---|---|---|
| Maintenance | Dormant (427d since push) As of today · github_public_v1 | Very active (0d 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 lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- doubletake
- [ECCV 2024] DoubleTake: Geometry Guided Depth Estimation
- pytorch
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stars
- doubletake
- 191
- pytorch
- 102k
Forks
- doubletake
- 13
- pytorch
- 28k
Open issues
- doubletake
- 3
- pytorch
- 18k
Language
- doubletake
- Python
- pytorch
- Python
Adopt for
- doubletake
- DoubleTake is a tool for geometry-guided depth estimation using multiview stereo techniques in Python with PyTorch framework, specifically designed for advanced computer vision tasks.
- pytorch
- -
Persona
- doubletake
- -
- pytorch
- -
Runtime
- doubletake
- -
- pytorch
- -
License
- doubletake
- Other
- pytorch
- Other
Last pushed
- doubletake
- May 9, 2025
- pytorch
- Jul 11, 2026
Categories
- doubletake
- Computer Vision
- pytorch
- Model Training, Data & Retrieval, Computer Vision
Trust and health
Maintenance
- doubletake
- Dormant (18%)
- pytorch
- Very active (96%)
Days since push
- doubletake
- 427d
- pytorch
- 0d
Open issues (now)
- doubletake
- 3
- pytorch
- 18k
Security scan
- doubletake
- No lockfile
- pytorch
- No criticals
Full report
- doubletake
- Trust report
- pytorch
- Trust report
Choose doubletake if…
- Tags unique to doubletake: cost-volume, mvs, ai, depth-estimation.
- When working on projects that require precise depth estimation guided by geometric principles within the context of multiview stereo datasets.
- Leaner open-issue backlog (3).
When NOT to use doubletake
- If your project does not involve geometry-guided techniques or if it specifically requires a different deep learning framework other than PyTorch.
- If you're looking for general image processing capabilities instead of advanced depth estimation functionalities.
Choose pytorch if…
- Tags unique to pytorch: autograd, deep-learning, gpu, neural-network.
- Also covers Model Training, Data & Retrieval.
- pytorch ships Docker support for self-hosted deployment.
When NOT to use pytorch
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nianticlabs/doubletake) · observed Jul 11, 2026
- GitHub forks (nianticlabs/doubletake) · observed Jul 11, 2026
- Last push (nianticlabs/doubletake) · observed May 9, 2025
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pytorch/pytorch) · observed Jul 11, 2026
- GitHub forks (pytorch/pytorch) · observed Jul 11, 2026
- Last push (pytorch/pytorch) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: doubletake 191 · pytorch 102k (synced Jul 11, 2026).
Common questions
- What is the difference between doubletake and pytorch?
- doubletake: [ECCV 2024] DoubleTake: Geometry Guided Depth Estimation. pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. See the comparison table for live GitHub stats and shared categories.
- When should I choose doubletake over pytorch?
- Choose doubletake over pytorch when Tags unique to doubletake: cost-volume, mvs, ai, depth-estimation; When working on projects that require precise depth estimation guided by geometric principles within the context of multiview stereo datasets; Leaner open-issue backlog (3).
- When should I choose pytorch over doubletake?
- Choose pytorch over doubletake when Tags unique to pytorch: autograd, deep-learning, gpu, neural-network; Also covers Model Training, Data & Retrieval; pytorch ships Docker support for self-hosted deployment.
- When should I avoid doubletake?
- If your project does not involve geometry-guided techniques or if it specifically requires a different deep learning framework other than PyTorch. If you're looking for general image processing capabilities instead of advanced depth estimation functionalities.
- When should I avoid pytorch?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is doubletake or pytorch more popular on GitHub?
- pytorch has more GitHub stars (101,752 vs 191). Stars measure visibility, not whether either tool fits your constraints.
- Are doubletake and pytorch open source?
- Yes - both are open-source projects on GitHub (doubletake: Other, pytorch: Other).
- Where can I find alternatives to doubletake or pytorch?
- GraphCanon lists graph-backed alternatives at doubletake alternatives and pytorch alternatives (doubletake markdown twin, pytorch 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, doubletake or pytorch?
- doubletake: Dormant. pytorch: Very active. 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 doubletake and pytorch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: doubletake trust report; pytorch trust report.