Comparison
auto-sklearn vs AI-Basketball-Referee
Verdict
Pick auto-sklearn when tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; pick AI-Basketball-Referee when tags unique to AI-Basketball-Referee: object-detection, ai, yolov8, basketball.
Markdown twin · auto-sklearn alternatives · AI-Basketball-Referee alternatives
GraphCanon updated today
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Trust & integrity
| Signal | auto-sklearn | AI-Basketball-Referee |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Dormant (817d 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
- AI-Basketball-Referee
- AI Basketball Referee
Stars
- auto-sklearn
- 8.1k
- AI-Basketball-Referee
- 359
Forks
- auto-sklearn
- 1.3k
- AI-Basketball-Referee
- 68
Open issues
- auto-sklearn
- 210
- AI-Basketball-Referee
- 1
Language
- auto-sklearn
- Python
- AI-Basketball-Referee
- Python
Adopt for
- auto-sklearn
- -
- AI-Basketball-Referee
- AI-Basketball-Referee is a computer vision system that uses YOLO for basketball detection and pose estimation to improve referee accuracy in real-time by detecting travels and double dribbles with precision.
Persona
- auto-sklearn
- -
- AI-Basketball-Referee
- -
Runtime
- auto-sklearn
- -
- AI-Basketball-Referee
- -
License
- auto-sklearn
- BSD-3-Clause
- AI-Basketball-Referee
- -
Last pushed
- auto-sklearn
- Jun 29, 2026
- AI-Basketball-Referee
- Apr 14, 2024
Categories
- auto-sklearn
- Model Training, Developer Tools, Computer Vision
- AI-Basketball-Referee
- Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- AI-Basketball-Referee
- Dormant (18%)
Days since push
- auto-sklearn
- 12d
- AI-Basketball-Referee
- 817d
Open issues (now)
- auto-sklearn
- 210
- AI-Basketball-Referee
- 1
Owner type
- auto-sklearn
- Organization
- AI-Basketball-Referee
- User
Security scan
- auto-sklearn
- 22 low (22 low)
- AI-Basketball-Referee
- No lockfile
Full report
- auto-sklearn
- Trust report
- AI-Basketball-Referee
- Trust report
Choose auto-sklearn if…
- 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 AI-Basketball-Referee if…
- Tags unique to AI-Basketball-Referee: object-detection, ai, yolov8, basketball.
- When needing precise and automated travel and double dribble detections during live games to enhance fairness.
- Leaner open-issue backlog (1).
When NOT to use AI-Basketball-Referee
- If the system needs to run without real-time feedback capabilities, as AI-Basketball-Referee heavily relies on providing immediate detection of violations during gameplay.
- In scenarios prioritizing low-cost solutions, given its dependency on a custom YOLO model and extensive labeled data set for accurate detections.
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 (ayushpai/AI-Basketball-Referee) · observed Jul 11, 2026
- GitHub forks (ayushpai/AI-Basketball-Referee) · observed Jul 11, 2026
- Last push (ayushpai/AI-Basketball-Referee) · observed Apr 14, 2024
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · AI-Basketball-Referee 359 (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and AI-Basketball-Referee?
- auto-sklearn: Automated Machine Learning with scikit-learn. AI-Basketball-Referee: AI Basketball Referee. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over AI-Basketball-Referee?
- Choose auto-sklearn over AI-Basketball-Referee when 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 AI-Basketball-Referee over auto-sklearn?
- Choose AI-Basketball-Referee over auto-sklearn when Tags unique to AI-Basketball-Referee: object-detection, ai, yolov8, basketball; When needing precise and automated travel and double dribble detections during live games to enhance fairness; Leaner open-issue backlog (1).
- 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 AI-Basketball-Referee?
- If the system needs to run without real-time feedback capabilities, as AI-Basketball-Referee heavily relies on providing immediate detection of violations during gameplay. In scenarios prioritizing low-cost solutions, given its dependency on a custom YOLO model and extensive labeled data set for accurate detections.
- Is auto-sklearn or AI-Basketball-Referee more popular on GitHub?
- auto-sklearn has more GitHub stars (8,119 vs 359). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and AI-Basketball-Referee open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to auto-sklearn or AI-Basketball-Referee?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and AI-Basketball-Referee alternatives (auto-sklearn markdown twin, AI-Basketball-Referee 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 AI-Basketball-Referee?
- auto-sklearn: Active. AI-Basketball-Referee: 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 AI-Basketball-Referee?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; AI-Basketball-Referee trust report.