Comparison
auto-sklearn vs habitat-sim
Verdict
Pick auto-sklearn when auto-sklearn is primarily Python; habitat-sim is C++; pick habitat-sim when habitat-sim is primarily C++; auto-sklearn is Python.
Markdown twin · auto-sklearn alternatives · habitat-sim alternatives
GraphCanon updated today
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Trust & integrity
| Signal | auto-sklearn | habitat-sim |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Steady (64d 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 | 6 low (6 low) As of today · osv@v1 |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- habitat-sim
- A flexible, high-performance 3D simulator for Embodied AI research.
Stars
- auto-sklearn
- 8.1k
- habitat-sim
- 3.7k
Forks
- auto-sklearn
- 1.3k
- habitat-sim
- 538
Open issues
- auto-sklearn
- 210
- habitat-sim
- 269
Language
- auto-sklearn
- Python
- habitat-sim
- C++
Adopt for
- auto-sklearn
- -
- habitat-sim
- -
Persona
- auto-sklearn
- -
- habitat-sim
- -
Runtime
- auto-sklearn
- -
- habitat-sim
- -
License
- auto-sklearn
- BSD-3-Clause
- habitat-sim
- MIT
Last pushed
- auto-sklearn
- Jun 29, 2026
- habitat-sim
- May 7, 2026
Categories
- auto-sklearn
- Model Training, Computer Vision, Developer Tools
- habitat-sim
- Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- habitat-sim
- Steady (60%)
Days since push
- auto-sklearn
- 12d
- habitat-sim
- 64d
Open issues (now)
- auto-sklearn
- 210
- habitat-sim
- 269
Security scan
- auto-sklearn
- 22 low (22 low)
- habitat-sim
- 6 low (6 low)
Full report
- auto-sklearn
- Trust report
- habitat-sim
- Trust report
Shared compatibility
- Python · auto-sklearn: Python runtime · habitat-sim: Python runtime
Choose auto-sklearn if…
- auto-sklearn is primarily Python; habitat-sim is C++.
- License: auto-sklearn is BSD-3-Clause, habitat-sim 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.
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 (facebookresearch/habitat-sim) · observed Jul 11, 2026
- GitHub forks (facebookresearch/habitat-sim) · observed Jul 11, 2026
- Last push (facebookresearch/habitat-sim) · observed May 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · habitat-sim 3.7k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and habitat-sim?
- auto-sklearn: Automated Machine Learning with scikit-learn. habitat-sim: A flexible, high-performance 3D simulator for Embodied AI research.. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over habitat-sim?
- Choose auto-sklearn over habitat-sim when auto-sklearn is primarily Python; habitat-sim is C++; License: auto-sklearn is BSD-3-Clause, habitat-sim 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 habitat-sim over auto-sklearn?
- Choose habitat-sim over auto-sklearn when habitat-sim is primarily C++; auto-sklearn is Python; License: habitat-sim is MIT, auto-sklearn is BSD-3-Clause; Tags unique to habitat-sim: ai, sim2real, robotics, c++.
- 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.
- Is auto-sklearn or habitat-sim more popular on GitHub?
- auto-sklearn has more GitHub stars (8,119 vs 3,742). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and habitat-sim open source?
- Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, habitat-sim: MIT).
- Where can I find alternatives to auto-sklearn or habitat-sim?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and habitat-sim alternatives (auto-sklearn markdown twin, habitat-sim 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 habitat-sim?
- auto-sklearn: Active. habitat-sim: Steady. 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 habitat-sim?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; habitat-sim trust report.