Comparison
modelfox vs awesome-AutoML
Verdict
Pick modelfox if modelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby; pick awesome-AutoML if curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning.
Markdown twin · modelfox alternatives · awesome-AutoML alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | modelfox | awesome-AutoML |
|---|---|---|
| Maintenance | Dormant (731d since push) As of 2w · github_public_v1 | Slowing (133d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- modelfox
- ModelFox simplifies machine learning model training and deployment.
- awesome-AutoML
- Curating AutoML research and resources
Stars
- modelfox
- 1.5k
- awesome-AutoML
- 941
Forks
- modelfox
- 64
- awesome-AutoML
- 156
Open issues
- modelfox
- 39
- awesome-AutoML
- 1
Language
- modelfox
- Rust
- awesome-AutoML
- -
Adopt for
- modelfox
- ModelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby.
- awesome-AutoML
- Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning.
Persona
- modelfox
- -
- awesome-AutoML
- -
Runtime
- modelfox
- -
- awesome-AutoML
- -
License
- modelfox
- MIT licensed with restrictions on the 'crates/app' directory for production use, requiring a paid license.
- awesome-AutoML
- GPL-3.0
Last pushed
- modelfox
- Aug 2, 2024
- awesome-AutoML
- Mar 24, 2026
Categories
- modelfox
- Developer Tools, Model Training
- awesome-AutoML
- Model Training
Trust and health
Maintenance
- modelfox
- Dormant (18%)
- awesome-AutoML
- Slowing (36%)
Days since push
- modelfox
- 731d
- awesome-AutoML
- 133d
Open issues (now)
- modelfox
- 39
- awesome-AutoML
- 1
Owner type
- modelfox
- Organization
- awesome-AutoML
- User
Full report
- modelfox
- Trust report
- awesome-AutoML
- Trust report
Choose modelfox if…
- License: modelfox is Other, awesome-AutoML is GPL-3.0.
- Pricing: Free to test, requires paid licenses for production deployment of certain components..
- Tags unique to modelfox: elixir-lang, golang, javascript, machine-learning.
- Also covers Developer Tools.
- If you are looking to integrate machine learning models across a variety of programming environments such as Rust or JavaScript without the complexity of language-specific frameworks
When NOT to use modelfox
- If you require open-source licensing for all components without exceptions since some parts like the crates/app directory need a paid license for production use
- For projects that specifically avoid Rust as their primary language or environment, as ModelFox primarily leverages Rust and its ecosystem
Choose awesome-AutoML if…
- License: awesome-AutoML is GPL-3.0, modelfox is Other.
- Tags unique to awesome-AutoML: hyperparameter-optimization, meta-learning, neural-architecture-search.
- When seeking comprehensive resources on diverse AutoML topics from recent and impactful research.
When NOT to use awesome-AutoML
- If looking for direct implementation advice as the repository focuses more on linking to resources rather than providing specific how-to guides.
- When requiring real-time or interactive AutoML features, since it's a curation hub rather than an application tool.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (modelfoxdotdev/modelfox) · observed Aug 3, 2026
- GitHub forks (modelfoxdotdev/modelfox) · observed Aug 3, 2026
- Last push (modelfoxdotdev/modelfox) · observed Aug 2, 2024
- License file (Other) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (windmaple/awesome-AutoML) · observed Aug 4, 2026
- GitHub forks (windmaple/awesome-AutoML) · observed Aug 4, 2026
- Last push (windmaple/awesome-AutoML) · observed Mar 24, 2026
- License file (GPL-3.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: modelfox 1.5k · awesome-AutoML 941 (synced Aug 3, 2026).
Common questions
- What is the difference between modelfox and awesome-AutoML?
- modelfox: ModelFox simplifies machine learning model training and deployment.. awesome-AutoML: Curating AutoML research and resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose modelfox over awesome-AutoML?
- Choose modelfox over awesome-AutoML when License: modelfox is Other, awesome-AutoML is GPL-3.0; Pricing: Free to test, requires paid licenses for production deployment of certain components.; Tags unique to modelfox: elixir-lang, golang, javascript, machine-learning; Also covers Developer Tools; If you are looking to integrate machine learning models across a variety of programming environments such as Rust or JavaScript without the complexity of language-specific frameworks.
- When should I choose awesome-AutoML over modelfox?
- Choose awesome-AutoML over modelfox when License: awesome-AutoML is GPL-3.0, modelfox is Other; Tags unique to awesome-AutoML: hyperparameter-optimization, meta-learning, neural-architecture-search; When seeking comprehensive resources on diverse AutoML topics from recent and impactful research.
- When should I avoid modelfox?
- If you require open-source licensing for all components without exceptions since some parts like the crates/app directory need a paid license for production use For projects that specifically avoid Rust as their primary language or environment, as ModelFox primarily leverages Rust and its ecosystem
- When should I avoid awesome-AutoML?
- If looking for direct implementation advice as the repository focuses more on linking to resources rather than providing specific how-to guides. When requiring real-time or interactive AutoML features, since it's a curation hub rather than an application tool.
- Is modelfox or awesome-AutoML more popular on GitHub?
- modelfox has more GitHub stars (1,467 vs 941). Stars measure visibility, not whether either tool fits your constraints.
- Are modelfox and awesome-AutoML open source?
- Yes - both are open-source projects on GitHub (modelfox: Other, awesome-AutoML: GPL-3.0).
- Where can I find alternatives to modelfox or awesome-AutoML?
- GraphCanon lists graph-backed alternatives at modelfox alternatives and awesome-AutoML alternatives (modelfox markdown twin, awesome-AutoML 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, modelfox or awesome-AutoML?
- modelfox: Dormant. awesome-AutoML: Slowing. 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 modelfox and awesome-AutoML?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: modelfox trust report; awesome-AutoML trust report.