Comparison
auto-sklearn vs quals-2023
Verdict
Pick auto-sklearn when auto-sklearn is primarily Python; quals-2023 is C; pick quals-2023 when quals-2023 is primarily C; auto-sklearn is Python.
Markdown twin · auto-sklearn alternatives · quals-2023 alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | auto-sklearn | quals-2023 |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Dormant (1128d 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) | 22 low (22 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- quals-2023
- Source code for the DEF CON 31 CTF Qualifiers.
Stars
- auto-sklearn
- 8.1k
- quals-2023
- 127
Forks
- auto-sklearn
- 1.3k
- quals-2023
- 11
Open issues
- auto-sklearn
- 210
- quals-2023
- 0
Language
- auto-sklearn
- Python
- quals-2023
- C
Adopt for
- auto-sklearn
- -
- quals-2023
- -
Persona
- auto-sklearn
- -
- quals-2023
- -
Runtime
- auto-sklearn
- -
- quals-2023
- -
License
- auto-sklearn
- BSD-3-Clause
- quals-2023
- -
Last pushed
- auto-sklearn
- Jun 29, 2026
- quals-2023
- Jun 9, 2023
Categories
- auto-sklearn
- Model Training, Computer Vision, Developer Tools
- quals-2023
- Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- quals-2023
- Dormant (18%)
Days since push
- auto-sklearn
- 12d
- quals-2023
- 1128d
Open issues (now)
- auto-sklearn
- 210
- quals-2023
- 0
Security scan
- auto-sklearn
- 22 low (22 low)
- quals-2023
- No lockfile
Full report
- auto-sklearn
- Trust report
- quals-2023
- Trust report
Choose auto-sklearn if…
- auto-sklearn is primarily Python; quals-2023 is C.
- 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 quals-2023 if…
- quals-2023 is primarily C; auto-sklearn is Python.
- Tags unique to quals-2023: c++.
- Leaner open-issue backlog (0).
When NOT to use quals-2023
- Last GitHub push was 1129 days ago (dormant maintenance, Jun 9, 2023). Validate activity before betting a new project on quals-2023.
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 (Nautilus-Institute/quals-2023) · observed Jul 11, 2026
- GitHub forks (Nautilus-Institute/quals-2023) · observed Jul 11, 2026
- Last push (Nautilus-Institute/quals-2023) · observed Jun 9, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · quals-2023 127 (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and quals-2023?
- auto-sklearn: Automated Machine Learning with scikit-learn. quals-2023: Source code for the DEF CON 31 CTF Qualifiers.. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over quals-2023?
- Choose auto-sklearn over quals-2023 when auto-sklearn is primarily Python; quals-2023 is C; 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 quals-2023 over auto-sklearn?
- Choose quals-2023 over auto-sklearn when quals-2023 is primarily C; auto-sklearn is Python; Tags unique to quals-2023: c++; Leaner open-issue backlog (0).
- 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 quals-2023?
- Last GitHub push was 1129 days ago (dormant maintenance, Jun 9, 2023). Validate activity before betting a new project on quals-2023.
- Is auto-sklearn or quals-2023 more popular on GitHub?
- auto-sklearn has more GitHub stars (8,119 vs 127). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and quals-2023 open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to auto-sklearn or quals-2023?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and quals-2023 alternatives (auto-sklearn markdown twin, quals-2023 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 quals-2023?
- auto-sklearn: Active. quals-2023: 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 quals-2023?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; quals-2023 trust report.