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Hugging Face
Jeu de données · 27.4M visites mensuelles

Hugging Face est la principale plateforme et communauté open-source pour l'apprentissage automatique. Elle fournit des outils aux développeurs et chercheurs pour construire, entraîner et déployer des modèles de pointe, offrant un vaste hub de modèles pré-entraînés, de jeux de données et d'applications de démonstration.

VS
ModelScope
Hub de modèles · 2.9M visites mensuelles

ModelScope est une communauté et une plateforme de modèles d'IA open source, offrant une vaste bibliothèque de modèles et de jeux de données. Elle fournit un écosystème "Modèle en tant que Service" (MaaS) avec des outils pour faciliter l'entraînement, l'inférence et le développement d'applications, soutenu par des ressources de calcul gratuites.

Hugging Face vs ModelScope : prix, fonctions et trafic

Comparez Hugging Face et ModelScope selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Hugging Face Aperçu du produit

Hugging Face est la principale plateforme et communauté open-source pour l'apprentissage automatique. Elle fournit des outils aux développeurs et chercheurs pour construire, entraîner et déployer des modèles de pointe, offrant un vaste hub de modèles pré-entraînés, de jeux de données et d'applications de démonstration.

Preview

ModelScope Aperçu du produit

ModelScope est une communauté et une plateforme de modèles d'IA open source, offrant une vaste bibliothèque de modèles et de jeux de données. Elle fournit un écosystème "Modèle en tant que Service" (MaaS) avec des outils pour faciliter l'entraînement, l'inférence et le développement d'applications, soutenu par des ressources de calcul gratuites.

Preview

Detailed feature comparison

FeatureHugging FaceModelScope
Catégorie principaleJeu de donnéesHub de modèles
Ajouté2025-08-172025-08-03
TarificationFreemiumFreemium
Site officielhuggingface.comodelscope.cn
Type de produitSite webSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles27.4M2.9M
Croissance mensuelle-9.6%-26.3%
Favoris117114
DetailsVoir les détailsVoir les détails

Hugging Face vs ModelScope monthly traffic

Compare Hugging Face and ModelScope by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Hugging Face vs ModelScope monthly traffic comparison, Hugging Face currently shows 27.4M visits and ModelScope shows 2.9M; Hugging Face has about 9.4 times the visible traffic of ModelScope, an absolute difference of about 24.4M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

ModelScope is registered at the modelscope.cn/home subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

Hugging Face monthly traffic:

Latest traffic

Visites mensuelles
27.4M
Durée moyenne
5:18
Pages par visite
6.47
Taux de rebond
41.95%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 22.9M Visites mensuelles
  • 2026/1: 24.9M Visites mensuelles
  • 2026/2: 23.3M Visites mensuelles
  • 2026/3: 26.4M Visites mensuelles
  • 2026/4: 30.3M Visites mensuelles
  • 2026/5: 27.4M Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States38.11%10.4M
🇨🇳China25.84%7.1M
🇮🇳India17.44%4.8M
🇷🇺Russia9.32%2.6M
🇩🇪Germany9.29%2.5M

Sources de trafic

Source typePercentageTraffic
Direct79.44%21.7M
Référence19.3%5.3M
E-mail1.26%344.8K

Mots-clés

deepseekdeepseek v4deepseek v4 prohugging facehuggingface

ModelScope monthly traffic:

Latest traffic

Visites mensuelles
2.9M
Durée moyenne
4:55
Pages par visite
6.81
Taux de rebond
35.01%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 2.8M Visites mensuelles
  • 2026/2: 2.6M Visites mensuelles
  • 2026/3: 3.5M Visites mensuelles
  • 2026/4: 4M Visites mensuelles
  • 2026/5: 2.9M Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China88.58%2.6M
🇺🇸United States4.98%145.7K
🇭🇰Hong Kong4.52%132.2K
🇹🇼Taiwan1.19%34.8K
🇸🇬Singapore0.73%21.4K

Sources de trafic

Source typePercentageTraffic
Direct83.92%2.5M
Référence16%468.1K
E-mail0.08%2.3K

Mots-clés

modelscope魔塔魔塔社区魔搭魔搭社区
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Hugging Face first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Hugging Face and ModelScope

Hugging Face Core features

Jeu de données
Apprentissage automatique
Collaboration

ModelScope Core features

Hub de modèles
Recherche
Low-Code No-Code

Use cases

Hugging Face Use cases

Communauté IA
vision par ordinateur
Grands modèles linguistiques
NLP
Open source
Hébergement de jeux de données
plateforme de développement
modèles de diffusion
apprentissage automatique
Hub de modèles

ModelScope Use cases

Communauté IA
vision par ordinateur
Grands modèles linguistiques
NLP
Open source
Développement de l'IA
Alibaba
Réglage fin
MaaS
Bibliothèque de modèles

Hugging Face vs ModelScope:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Hugging Face vs ModelScope comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Hugging Face is primarily listed under “Jeu de données”, while ModelScope is primarily listed under “Hub de modèles”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Hugging Face: Jeu de données; ModelScope: Hub de modèles); Monthly visits (Hugging Face: 27.4M; ModelScope: 2.9M); Monthly growth (Hugging Face: -9.6%; ModelScope: -26.3%); Favorites (Hugging Face: 117; ModelScope: 114); Website (Hugging Face: huggingface.co; ModelScope: modelscope.cn). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Hugging Face vs ModelScope monthly traffic comparison, Hugging Face currently shows 27.4M visits and ModelScope shows 2.9M; Hugging Face has about 9.4 times the visible traffic of ModelScope, an absolute difference of about 24.4M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

ModelScope is registered at the modelscope.cn/home subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

If public market visibility is an important first-pass criterion, investigate Hugging Face first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Hugging Face and ModelScope currently overlap in shared tags: Communauté IA, vision par ordinateur, Grands modèles linguistiques, NLP et Open source. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Hugging Face's unique categories/tags are Jeu de données, Apprentissage automatique, Collaboration, Hébergement de jeux de données, plateforme de développement, modèles de diffusion, apprentissage automatique et Hub de modèles; ModelScope's are Hub de modèles, Recherche, Low-Code No-Code, Développement de l'IA, Alibaba, Réglage fin, MaaS et Bibliothèque de modèles. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Hugging Face has no verified rating, 0 comments, 117 favorites, and 126 likes;ModelScope has no verified rating, 0 comments, 114 favorites, and 118 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Hugging Face first

Put Hugging Face on the priority trial list when the task aligns with “Jeu de données” and especially Jeu de données, Apprentissage automatique, Collaboration, Hébergement de jeux de données, plateforme de développement et modèles de diffusion. This follows recorded positioning and does not imply unlisted capabilities are absent.

Hugging Face also currently records: pricing is freemium, product type is website, 27.4M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate ModelScope first

Put ModelScope on the priority trial list when the task aligns with “Hub de modèles” and especially Hub de modèles, Recherche, Low-Code No-Code, Développement de l'IA, Alibaba et Réglage fin. This follows recorded positioning and does not imply unlisted capabilities are absent.

ModelScope also currently records: pricing is freemium, product type is website, 2.9M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Hugging Face and ModelScope, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

FAQ comparative

How should I choose between Hugging Face and ModelScope?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.