Comparison
Auto-PyTorch vs face.evoLVe
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick face.evoLVe if face.evoLVe offers a high-performance face recognition solution using both PaddlePaddle and PyTorch frameworks.
Markdown twin · Auto-PyTorch alternatives · face.evoLVe alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Auto-PyTorch | face.evoLVe |
|---|---|---|
| Maintenance | Dormant (846d since push) As of 2w · github_public_v1 | Dormant (491d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
- face.evoLVe
- High-Performance Face Recognition Library on PaddlePaddle & PyTorch
Stars
- Auto-PyTorch
- 2.5k
- face.evoLVe
- 3.6k
Forks
- Auto-PyTorch
- 303
- face.evoLVe
- 760
Open issues
- Auto-PyTorch
- 75
- face.evoLVe
- 96
Language
- Auto-PyTorch
- Python
- face.evoLVe
- Python
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- face.evoLVe
- face.evoLVe offers a high-performance face recognition solution using both PaddlePaddle and PyTorch frameworks.
Persona
- Auto-PyTorch
- -
- face.evoLVe
- -
Runtime
- Auto-PyTorch
- -
- face.evoLVe
- -
License
- Auto-PyTorch
- Apache-2.0
- face.evoLVe
- MIT License allows free use and distribution with attribution.
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- face.evoLVe
- Mar 20, 2025
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- face.evoLVe
- Computer Vision, Model Training
Trust and health
Days since push
- Auto-PyTorch
- 846d
- face.evoLVe
- 491d
Open issues (now)
- Auto-PyTorch
- 75
- face.evoLVe
- 96
Owner type
- Auto-PyTorch
- Organization
- face.evoLVe
- User
OSV dependency advisories
- Auto-PyTorch
- Published findings
- face.evoLVe
- No lockfile (source not queried)
Full report
- Auto-PyTorch
- Trust report
- face.evoLVe
- Trust report
Choose Auto-PyTorch if…
- License: Auto-PyTorch is Apache-2.0, face.evoLVe is MIT.
- Tags unique to Auto-PyTorch: automl, pytorch, tabular-data, time-series-forecasting.
- Also covers Data & Retrieval.
- Auto-PyTorch ships Docker support for self-hosted deployment.
- Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
When NOT to use Auto-PyTorch
- Avoid using it if your AI development focuses on frameworks other than PyTorch.
- Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
Choose face.evoLVe if…
- License: face.evoLVe is MIT, Auto-PyTorch is Apache-2.0.
- Tags unique to face.evoLVe: artificial-intelligence, computer-vision, convolutional-neural-network, data-augmentation.
- Also covers Computer Vision.
- Prefer this when developing applications that need integration with Tencent's PaddlePaddle framework.
When NOT to use face.evoLVe
- Avoid using if your project only supports frameworks besides PaddlePaddle and PyTorch.
- If the primary focus of your application is not related to face recognition tasks, this might be overkill.
- Steer clear if you do not require advanced feature extraction methods or imbalanced learning support for face data.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automl/Auto-PyTorch) · observed Aug 4, 2026
- GitHub forks (automl/Auto-PyTorch) · observed Aug 4, 2026
- Last push (automl/Auto-PyTorch) · observed Apr 9, 2024
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ZhaoJ9014/face.evoLVe) · observed Jul 24, 2026
- GitHub forks (ZhaoJ9014/face.evoLVe) · observed Jul 24, 2026
- Last push (ZhaoJ9014/face.evoLVe) · observed Mar 20, 2025
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Auto-PyTorch 2.5k · face.evoLVe 3.6k (synced Aug 4, 2026).
Common questions
- What is the difference between Auto-PyTorch and face.evoLVe?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. face.evoLVe: High-Performance Face Recognition Library on PaddlePaddle & PyTorch. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over face.evoLVe?
- Choose Auto-PyTorch over face.evoLVe when License: Auto-PyTorch is Apache-2.0, face.evoLVe is MIT; Tags unique to Auto-PyTorch: automl, pytorch, tabular-data, time-series-forecasting; Also covers Data & Retrieval; Auto-PyTorch ships Docker support for self-hosted deployment; Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
- When should I choose face.evoLVe over Auto-PyTorch?
- Choose face.evoLVe over Auto-PyTorch when License: face.evoLVe is MIT, Auto-PyTorch is Apache-2.0; Tags unique to face.evoLVe: artificial-intelligence, computer-vision, convolutional-neural-network, data-augmentation; Also covers Computer Vision; Prefer this when developing applications that need integration with Tencent's PaddlePaddle framework.
- When should I avoid Auto-PyTorch?
- Avoid using it if your AI development focuses on frameworks other than PyTorch. Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
- When should I avoid face.evoLVe?
- Avoid using if your project only supports frameworks besides PaddlePaddle and PyTorch. If the primary focus of your application is not related to face recognition tasks, this might be overkill. Steer clear if you do not require advanced feature extraction methods or imbalanced learning support for face data.
- Is Auto-PyTorch or face.evoLVe more popular on GitHub?
- face.evoLVe has more GitHub stars (3,586 vs 2,541). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and face.evoLVe open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, face.evoLVe: MIT).
- Where can I find alternatives to Auto-PyTorch or face.evoLVe?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and face.evoLVe alternatives (Auto-PyTorch markdown twin, face.evoLVe 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, Auto-PyTorch or face.evoLVe?
- Auto-PyTorch: Dormant. face.evoLVe: Dormant. 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 Auto-PyTorch and face.evoLVe?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; face.evoLVe trust report.