Comparison
auto-sklearn vs knowledge_gpt
Verdict
Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, knowledge_gpt is MIT; pick knowledge_gpt when license: knowledge_gpt is MIT, auto-sklearn is BSD-3-Clause.
Markdown twin · auto-sklearn alternatives · knowledge_gpt alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | auto-sklearn | knowledge_gpt |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Archived (772d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | 22 low (22 low) As of today · osv@v1 | 243 low (243 low) As of 1d · osv@v1 |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- knowledge_gpt
- Accurate answers and instant citations for your documents.
Stars
- auto-sklearn
- 8.1k
- knowledge_gpt
- 1.6k
Forks
- auto-sklearn
- 1.3k
- knowledge_gpt
- 787
Open issues
- auto-sklearn
- 210
- knowledge_gpt
- 16
Language
- auto-sklearn
- Python
- knowledge_gpt
- Python
Adopt for
- auto-sklearn
- -
- knowledge_gpt
- -
Persona
- auto-sklearn
- -
- knowledge_gpt
- -
Runtime
- auto-sklearn
- -
- knowledge_gpt
- -
License
- auto-sklearn
- BSD-3-Clause
- knowledge_gpt
- MIT
Last pushed
- auto-sklearn
- Jun 29, 2026
- knowledge_gpt
- May 29, 2024
Categories
- auto-sklearn
- Computer Vision, Developer Tools, Model Training
- knowledge_gpt
- Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- knowledge_gpt
- Archived (8%)
Days since push
- auto-sklearn
- 12d
- knowledge_gpt
- 772d
Archived on GitHub
- auto-sklearn
- No
- knowledge_gpt
- Yes
Open issues (now)
- auto-sklearn
- 210
- knowledge_gpt
- 16
Owner type
- auto-sklearn
- Organization
- knowledge_gpt
- User
Security scan
- auto-sklearn
- 22 low (22 low)
- knowledge_gpt
- 243 low (243 low)
Full report
- auto-sklearn
- Trust report
- knowledge_gpt
- Trust report
Choose auto-sklearn if…
- License: auto-sklearn is BSD-3-Clause, knowledge_gpt is MIT.
- Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization.
- Also covers Developer Tools, Model Training.
When NOT to use auto-sklearn
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose knowledge_gpt if…
- License: knowledge_gpt is MIT, auto-sklearn is BSD-3-Clause.
- Tags unique to knowledge_gpt: python.
- Leaner open-issue backlog (16).
When NOT to use knowledge_gpt
- knowledge_gpt is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
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 (mmz-001/knowledge_gpt) · observed Jul 11, 2026
- GitHub forks (mmz-001/knowledge_gpt) · observed Jul 11, 2026
- Last push (mmz-001/knowledge_gpt) · observed May 29, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · knowledge_gpt 1.6k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and knowledge_gpt?
- auto-sklearn: Automated Machine Learning with scikit-learn. knowledge_gpt: Accurate answers and instant citations for your documents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over knowledge_gpt?
- Choose auto-sklearn over knowledge_gpt when License: auto-sklearn is BSD-3-Clause, knowledge_gpt is MIT; Tags unique to auto-sklearn: automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization; Also covers Developer Tools, Model Training.
- When should I choose knowledge_gpt over auto-sklearn?
- Choose knowledge_gpt over auto-sklearn when License: knowledge_gpt is MIT, auto-sklearn is BSD-3-Clause; Tags unique to knowledge_gpt: python; Leaner open-issue backlog (16).
- When should I avoid auto-sklearn?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid knowledge_gpt?
- knowledge_gpt is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Is auto-sklearn or knowledge_gpt more popular on GitHub?
- auto-sklearn has more GitHub stars (8,119 vs 1,637). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and knowledge_gpt open source?
- Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, knowledge_gpt: MIT).
- Where can I find alternatives to auto-sklearn or knowledge_gpt?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and knowledge_gpt alternatives (auto-sklearn markdown twin, knowledge_gpt 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 knowledge_gpt?
- auto-sklearn: Active. knowledge_gpt: Archived. 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 knowledge_gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; knowledge_gpt trust report.