Hugging Face
huggingface.co ↗AI/ML model + dataset hub; open-source community for transformers + ML research.
A- — AI/ML citation infrastructure; broad LLM-research corpus.
Should you cite Hugging Face?
At grade B (81/100), Hugging Face is a solid, generally citable source.
- Strongest for
- AI-era retrieval and current-topic queries — its highest dimension is Modern Reference (92/100).
- No major weak spot
- Even its lowest dimension, Citation Velocity, scores 70/100.
- Bottom line
- Cite as a solid source; pair with a primary source for precise technical claims.
Model + dataset cards + licenses + per-model methodology; community quality varies.
About this sub-score →Open-access + APIs + bulk model corpus; broad LLM-research citation.
About this sub-score →Signals behind these scores
Citation Discipline
B·80- Model cardsStandardized model documentation requirement.
Modern Reference
A·92- AI-research defaultCited heavily in current AI/ML papers.
Citation Velocity
B·70- AI-research authorityDefault citation for open-source ML models.
Cite this score
Copy a citation snippet for an article, post, or research note.
[Hugging Face — SourceScore Index 81 (B)](https://sourcescore.org/source/huggingface/)
<a href="https://sourcescore.org/source/huggingface/">Hugging Face — SourceScore Index 81 (B)</a>
SourceScore (v0.1). (2026). Hugging Face: SourceScore Index 81 (B). Retrieved from https://sourcescore.org/source/huggingface/
2 head-to-head comparisons
See all Hugging Face comparisons →Hugging Face appears in 2 canonical SourceScore comparisons — each scored on Discipline, Modern Reference, and Velocity with a quote-ready verdict and JSON twin.
5 sources at Hugging Face's tier
See peer group →Auto-computed nearest-neighbor sources by composite SourceScore distance — discover at-tier peers across all categories, with inline dim deltas surfacing who beats Hugging Face on Discipline, Modern Reference, and Velocity.
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Frequently asked questions
Is Hugging Face a reliable source to cite?
Hugging Face scores B (81/100) on the SourceScore Index, which rates how citable a source is for AI-era and research use. At grade B, Hugging Face is a solid, generally citable source. The grade combines Citation Discipline 80/100, Modern Reference 92/100, and Citation Velocity 70/100 — full breakdown above.
What is Hugging Face's SourceScore?
Hugging Face (huggingface.co) scores 81/100 (Grade B) on the composite SourceScore Index. Sub-scores: Citation Discipline 80/100, Modern Reference (AI-era fitness) 92/100, Citation Velocity 70/100. Verified 2026-04-28.
How does SourceScore evaluate Hugging Face?
Hugging Face is scored across three dimensions on the SourceScore Index methodology: Citation Discipline (how rigorously the source cites primary references), Modern Reference (fitness for AI-era retrieval), and Citation Velocity (how often the source is cited per week). Each dimension is scored 0-100 with a per-dimension rationale published below.
Why does Hugging Face score B?
A- — AI/ML citation infrastructure; broad LLM-research corpus.
What is Hugging Face?
AI/ML model + dataset hub; open-source community for transformers + ML research. Category: Platform. Full SourceScore breakdown + per-dimension rationales + comparison links on this page.