Comparison
artificio vs scikit-learn
Verdict
Pick artificio when license: artificio is Apache-2.0, scikit-learn is BSD-3-Clause; pick scikit-learn when license: scikit-learn is BSD-3-Clause, artificio is Apache-2.0.
Markdown twin · artificio alternatives · scikit-learn alternatives
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Trust & integrity
| Signal | artificio | scikit-learn |
|---|---|---|
| Maintenance | Dormant (1422d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- artificio
- Deep Learning Computer Vision Algorithms for Real-World Use
- scikit-learn
- scikit-learn: machine learning in Python
Stars
- artificio
- 418
- scikit-learn
- 67k
Forks
- artificio
- 213
- scikit-learn
- 27k
Open issues
- artificio
- 5
- scikit-learn
- 2.1k
Language
- artificio
- Python
- scikit-learn
- Python
Adopt for
- artificio
- -
- scikit-learn
- -
Persona
- artificio
- -
- scikit-learn
- -
Runtime
- artificio
- -
- scikit-learn
- -
License
- artificio
- Apache-2.0
- scikit-learn
- BSD-3-Clause
Last pushed
- artificio
- Aug 19, 2022
- scikit-learn
- Jul 11, 2026
Categories
- artificio
- Data & Retrieval, Computer Vision, Evaluation & Observability
- scikit-learn
- Computer Vision, Evaluation & Observability
Trust and health
Maintenance
- artificio
- Dormant (18%)
- scikit-learn
- Very active (96%)
Days since push
- artificio
- 1422d
- scikit-learn
- 0d
Open issues (now)
- artificio
- 5
- scikit-learn
- 2.1k
Owner type
- artificio
- User
- scikit-learn
- Organization
Full report
- artificio
- Trust report
- scikit-learn
- Trust report
Choose artificio if…
- License: artificio is Apache-2.0, scikit-learn is BSD-3-Clause.
- Tags unique to artificio: auto-encoders, applications, deep-learning, ai.
- Also covers Data & Retrieval.
When NOT to use artificio
- Last GitHub push was 1423 days ago (dormant maintenance, Aug 19, 2022). Validate activity before betting a new project on artificio.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose scikit-learn if…
- License: scikit-learn is BSD-3-Clause, artificio is Apache-2.0.
- Tags unique to scikit-learn: machine-learning, data-analysis, python, statistics.
- More GitHub stars (67k vs 418) - visibility, not fit.
When NOT to use scikit-learn
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ankonzoid/artificio) · observed Jul 11, 2026
- GitHub forks (ankonzoid/artificio) · observed Jul 11, 2026
- Last push (ankonzoid/artificio) · observed Aug 19, 2022
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (scikit-learn/scikit-learn) · observed Jul 11, 2026
- GitHub forks (scikit-learn/scikit-learn) · observed Jul 11, 2026
- Last push (scikit-learn/scikit-learn) · observed Jul 11, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: artificio 418 · scikit-learn 67k (synced Jul 11, 2026).
Common questions
- What is the difference between artificio and scikit-learn?
- artificio: Deep Learning Computer Vision Algorithms for Real-World Use. scikit-learn: scikit-learn: machine learning in Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose artificio over scikit-learn?
- Choose artificio over scikit-learn when License: artificio is Apache-2.0, scikit-learn is BSD-3-Clause; Tags unique to artificio: auto-encoders, applications, deep-learning, ai; Also covers Data & Retrieval.
- When should I choose scikit-learn over artificio?
- Choose scikit-learn over artificio when License: scikit-learn is BSD-3-Clause, artificio is Apache-2.0; Tags unique to scikit-learn: machine-learning, data-analysis, python, statistics; More GitHub stars (67k vs 418) - visibility, not fit.
- When should I avoid artificio?
- Last GitHub push was 1423 days ago (dormant maintenance, Aug 19, 2022). Validate activity before betting a new project on artificio. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid scikit-learn?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is artificio or scikit-learn more popular on GitHub?
- scikit-learn has more GitHub stars (66,693 vs 418). Stars measure visibility, not whether either tool fits your constraints.
- Are artificio and scikit-learn open source?
- Yes - both are open-source projects on GitHub (artificio: Apache-2.0, scikit-learn: BSD-3-Clause).
- Where can I find alternatives to artificio or scikit-learn?
- GraphCanon lists graph-backed alternatives at artificio alternatives and scikit-learn alternatives (artificio markdown twin, scikit-learn 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, artificio or scikit-learn?
- artificio: Dormant. scikit-learn: 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 artificio and scikit-learn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: artificio trust report; scikit-learn trust report.