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Hugging Face
Conjunto de dados · 27.4M visitas mensais

Hugging Face é a principal plataforma e comunidade de código aberto para machine learning. Fornece ferramentas para desenvolvedores e pesquisadores construírem, treinarem e implantarem modelos de última geração, oferecendo um vasto hub de modelos pré-treinados, datasets e aplicações de demonstração.

VS
ModelScope
Hub de Modelos · 2.9M visitas mensais

ModelScope é uma comunidade e plataforma de modelos de IA de código aberto, oferecendo uma vasta biblioteca de modelos e conjuntos de dados. Fornece um ecossistema de "Modelo como Serviço" (MaaS) com ferramentas para treino, inferência e desenvolvimento de aplicações fáceis, suportado por recursos de computação gratuitos.

Hugging Face vs ModelScope: preços, recursos e tráfego

Compare Hugging Face e ModelScope por posicionamento, preço, recursos, tráfego e avaliações.

Atualizado 5 de ago. de 2026

Visão geral

Hugging Face Visão geral

Hugging Face é a principal plataforma e comunidade de código aberto para machine learning. Fornece ferramentas para desenvolvedores e pesquisadores construírem, treinarem e implantarem modelos de última geração, oferecendo um vasto hub de modelos pré-treinados, datasets e aplicações de demonstração.

Preview

ModelScope Visão geral

ModelScope é uma comunidade e plataforma de modelos de IA de código aberto, oferecendo uma vasta biblioteca de modelos e conjuntos de dados. Fornece um ecossistema de "Modelo como Serviço" (MaaS) com ferramentas para treino, inferência e desenvolvimento de aplicações fáceis, suportado por recursos de computação gratuitos.

Preview

Detailed feature comparison

FeatureHugging FaceModelScope
Categoria principalConjunto de dadosHub de Modelos
Adicionado2025-08-172025-08-03
PreçoFreemiumFreemium
Site oficialhuggingface.comodelscope.cn
Tipo de produtoSiteSite
Performance data
AvaliaçãoNão verificadoNão verificado
Comentários00
Visitas mensais27.4M2.9M
Crescimento mensal-9.6%-26.3%
Favoritos117114
DetailsVer detalhesVer detalhes

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

Visitas mensais
27.4M
Duração média
5:18
Páginas por visita
6.47
Taxa de rejeição
41.95%
Data updated 2026-06-15

Monthly traffic trend

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

Principais regiões

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

Fontes de tráfego

Source typePercentageTraffic
Direto79.44%21.7M
Referência19.3%5.3M
E-mail1.26%344.8K

Palavras-chave

deepseekdeepseek v4deepseek v4 prohugging facehuggingface

ModelScope monthly traffic:

Latest traffic

Visitas mensais
2.9M
Duração média
4:55
Páginas por visita
6.81
Taxa de rejeição
35.01%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 2.8M Visitas mensais
  • 2026/2: 2.6M Visitas mensais
  • 2026/3: 3.5M Visitas mensais
  • 2026/4: 4M Visitas mensais
  • 2026/5: 2.9M Visitas mensais

Principais regiões

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

Fontes de tráfego

Source typePercentageTraffic
Direto83.92%2.5M
Referência16%468.1K
E-mail0.08%2.3K

Palavras-chave

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

Conjunto de dados
Aprendizado de Máquina
Colaboração

ModelScope Core features

Hub de Modelos
Pesquisa
Low-Code No-Code

Use cases

Hugging Face Use cases

Comunidade de IA
visão computacional
Grandes modelos de linguagem
NLP
Código Aberto
Hospedagem de conjuntos de dados
plataforma de desenvolvedor
modelos de difusão
aprendizado de máquina
Hub de modelos

ModelScope Use cases

Comunidade de IA
visão computacional
Grandes modelos de linguagem
NLP
Código Aberto
Desenvolvimento de IA
Alibaba
Ajuste fino
MaaS
Biblioteca de modelos

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 “Conjunto de dados”, while ModelScope is primarily listed under “Hub de Modelos”, 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: Conjunto de dados; ModelScope: Hub de Modelos); 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: Comunidade de IA, visão computacional, Grandes modelos de linguagem, NLP e Código Aberto. 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 Conjunto de dados, Aprendizado de Máquina, Colaboração, Hospedagem de conjuntos de dados, plataforma de desenvolvedor, modelos de difusão, aprendizado de máquina e Hub de modelos; ModelScope's are Hub de Modelos, Pesquisa, Low-Code No-Code, Desenvolvimento de IA, Alibaba, Ajuste fino, MaaS e Biblioteca de modelos. 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 “Conjunto de dados” and especially Conjunto de dados, Aprendizado de Máquina, Colaboração, Hospedagem de conjuntos de dados, plataforma de desenvolvedor e modelos de difusão. 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 Modelos” and especially Hub de Modelos, Pesquisa, Low-Code No-Code, Desenvolvimento de IA, Alibaba e Ajuste fino. 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 da comparação

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.