Comparison
auto-sklearn vs BlenderNeRF
Verdict
Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, BlenderNeRF is MIT; pick BlenderNeRF when license: BlenderNeRF is MIT, auto-sklearn is BSD-3-Clause.
Markdown twin · auto-sklearn alternatives · BlenderNeRF alternatives
GraphCanon updated today
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Trust & integrity
| Signal | auto-sklearn | BlenderNeRF |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Dormant (571d 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) | 22 low (22 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- BlenderNeRF
- Easy NeRF synthetic dataset creation within Blender
Stars
- auto-sklearn
- 8.1k
- BlenderNeRF
- 1.0k
Forks
- auto-sklearn
- 1.3k
- BlenderNeRF
- 75
Open issues
- auto-sklearn
- 210
- BlenderNeRF
- 10
Language
- auto-sklearn
- Python
- BlenderNeRF
- Python
Adopt for
- auto-sklearn
- -
- BlenderNeRF
- -
Persona
- auto-sklearn
- -
- BlenderNeRF
- -
Runtime
- auto-sklearn
- -
- BlenderNeRF
- -
License
- auto-sklearn
- BSD-3-Clause
- BlenderNeRF
- MIT
Last pushed
- auto-sklearn
- Jun 29, 2026
- BlenderNeRF
- Dec 16, 2024
Categories
- auto-sklearn
- Model Training, Computer Vision, Developer Tools
- BlenderNeRF
- Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- BlenderNeRF
- Dormant (18%)
Days since push
- auto-sklearn
- 12d
- BlenderNeRF
- 571d
Open issues (now)
- auto-sklearn
- 210
- BlenderNeRF
- 10
Owner type
- auto-sklearn
- Organization
- BlenderNeRF
- User
Security scan
- auto-sklearn
- 22 low (22 low)
- BlenderNeRF
- No lockfile
Full report
- auto-sklearn
- Trust report
- BlenderNeRF
- Trust report
Choose auto-sklearn if…
- License: auto-sklearn is BSD-3-Clause, BlenderNeRF is MIT.
- Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning.
- Also covers Model Training, Developer Tools.
- auto-sklearn ships Docker support for self-hosted deployment.
When NOT to use auto-sklearn
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose BlenderNeRF if…
- License: BlenderNeRF is MIT, auto-sklearn is BSD-3-Clause.
- Tags unique to BlenderNeRF: ai, blender, computer-graphics, instant-ngp.
- Leaner open-issue backlog (10).
When NOT to use BlenderNeRF
- Last GitHub push was 572 days ago (dormant maintenance, Dec 16, 2024). Validate activity before betting a new project on BlenderNeRF.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automl/auto-sklearn) · observed Jul 11, 2026
- GitHub forks (automl/auto-sklearn) · observed Jul 11, 2026
- Last push (automl/auto-sklearn) · observed Jun 29, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (maximeraafat/BlenderNeRF) · observed Jul 11, 2026
- GitHub forks (maximeraafat/BlenderNeRF) · observed Jul 11, 2026
- Last push (maximeraafat/BlenderNeRF) · observed Dec 16, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · BlenderNeRF 1.0k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and BlenderNeRF?
- auto-sklearn: Automated Machine Learning with scikit-learn. BlenderNeRF: Easy NeRF synthetic dataset creation within Blender. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over BlenderNeRF?
- Choose auto-sklearn over BlenderNeRF when License: auto-sklearn is BSD-3-Clause, BlenderNeRF is MIT; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Model Training, Developer Tools; auto-sklearn ships Docker support for self-hosted deployment.
- When should I choose BlenderNeRF over auto-sklearn?
- Choose BlenderNeRF over auto-sklearn when License: BlenderNeRF is MIT, auto-sklearn is BSD-3-Clause; Tags unique to BlenderNeRF: ai, blender, computer-graphics, instant-ngp; Leaner open-issue backlog (10).
- When should I avoid auto-sklearn?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid BlenderNeRF?
- Last GitHub push was 572 days ago (dormant maintenance, Dec 16, 2024). Validate activity before betting a new project on BlenderNeRF.
- Is auto-sklearn or BlenderNeRF more popular on GitHub?
- auto-sklearn has more GitHub stars (8,119 vs 1,006). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and BlenderNeRF open source?
- Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, BlenderNeRF: MIT).
- Where can I find alternatives to auto-sklearn or BlenderNeRF?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and BlenderNeRF alternatives (auto-sklearn markdown twin, BlenderNeRF 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-sklearn or BlenderNeRF?
- auto-sklearn: Active. BlenderNeRF: 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-sklearn and BlenderNeRF?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; BlenderNeRF trust report.