Comparison
auto-sklearn vs unsloth
Verdict
Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, unsloth is Apache-2.0; pick unsloth when license: unsloth is Apache-2.0, auto-sklearn is BSD-3-Clause.
Markdown twin · auto-sklearn alternatives · unsloth alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | auto-sklearn | unsloth |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Very active (0d 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
- unsloth
- A web UI for training and running open models locally.
Stars
- auto-sklearn
- 8.1k
- unsloth
- 68k
Forks
- auto-sklearn
- 1.3k
- unsloth
- 6.1k
Open issues
- auto-sklearn
- 210
- unsloth
- 1.1k
Language
- auto-sklearn
- Python
- unsloth
- Python
Adopt for
- auto-sklearn
- -
- unsloth
- Unsloth Studio provides a comprehensive web UI and code-based toolset, Unsloth Core, for training and deploying open-source language models locally. It supports a wide range of models including Gemma, Qwen3.6, LLaMA, and
Persona
- auto-sklearn
- -
- unsloth
- -
Runtime
- auto-sklearn
- -
- unsloth
- -
License
- auto-sklearn
- BSD-3-Clause
- unsloth
- Apache-2.0
Last pushed
- auto-sklearn
- Jun 29, 2026
- unsloth
- Jul 11, 2026
Categories
- auto-sklearn
- Model Training, Computer Vision, Developer Tools
- unsloth
- Model Training, Developer Tools, Inference & Serving
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- unsloth
- Very active (96%)
Days since push
- auto-sklearn
- 12d
- unsloth
- 0d
Open issues (now)
- auto-sklearn
- 210
- unsloth
- 1.1k
Security scan
- auto-sklearn
- 22 low (22 low)
- unsloth
- No lockfile
Full report
- auto-sklearn
- Trust report
- unsloth
- Trust report
Shared compatibility
- Python · auto-sklearn: Python runtime · unsloth: Python runtime
Choose auto-sklearn if…
- License: auto-sklearn is BSD-3-Clause, unsloth is Apache-2.0.
- Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning.
- Also covers Computer Vision.
- 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 unsloth if…
- License: unsloth is Apache-2.0, auto-sklearn is BSD-3-Clause.
- Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core..
- Tags unique to unsloth: llama, mistral, gemma, gemma3.
- Also covers Inference & Serving.
- You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure.
When NOT to use unsloth
- Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities.
- Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources.
- If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than虞
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 (unslothai/unsloth) · observed Jul 12, 2026
- GitHub forks (unslothai/unsloth) · observed Jul 12, 2026
- Last push (unslothai/unsloth) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 12, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · unsloth 68k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and unsloth?
- auto-sklearn: Automated Machine Learning with scikit-learn. unsloth: A web UI for training and running open models locally.. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over unsloth?
- Choose auto-sklearn over unsloth when License: auto-sklearn is BSD-3-Clause, unsloth is Apache-2.0; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Computer Vision; auto-sklearn ships Docker support for self-hosted deployment.
- When should I choose unsloth over auto-sklearn?
- Choose unsloth over auto-sklearn when License: unsloth is Apache-2.0, auto-sklearn is BSD-3-Clause; Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core.; Tags unique to unsloth: llama, mistral, gemma, gemma3; Also covers Inference & Serving; You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure.
- 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 unsloth?
- Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities. Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources. If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than虞
- Is auto-sklearn or unsloth more popular on GitHub?
- unsloth has more GitHub stars (68,030 vs 8,119). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and unsloth open source?
- Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, unsloth: Apache-2.0).
- Where can I find alternatives to auto-sklearn or unsloth?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and unsloth alternatives (auto-sklearn markdown twin, unsloth 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 unsloth?
- auto-sklearn: Active. unsloth: Very active. 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 unsloth?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; unsloth trust report.