Hugging Face VS ModelScope
Compare Hugging Face VS ModelScope, what is the difference between Hugging Face and ModelScope?
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Summarize
Hugging Face summarize
Hugging Face Landing Page
ModelScope summarize
The ModelScope Community was established in June 2022 and was initiated by Alibaba's Tongyi Lab in conjunction with the CCF Open Source Development Committee. It is an open-source model community and innovation platform that collaborates with domestic partners in the AI field and university institutions to promote the development of a model application ecosystem based on the concept of 'Model as a Service'. The platform offers simple and efficient model services and a computing power platform, with a complete engineering framework and a rich open-source ecosystem to assist in the research and development of large models. Its advantages include zero-threshold usage, no need for environment installation, long-term free CPU resources, and new users can enjoy 100 hours of free GPU computing power after registering and binding an Alibaba Cloud account.
ModelScope Landing Page
Compare Details
Hugging Face details
| Categories | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) |
| Hugging Face Website | https://huggingface.co?utm_source=toolify |
| Added Time | December 25 2023 |
| Hugging Face Pricing | -- |
ModelScope details
| Categories | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs), AI API |
| ModelScope Website | https://www.modelscope.cn?utm_source=toolify |
| Added Time | July 30 2026 |
| ModelScope Pricing | -- |
Comparison of usage
How to use Hugging Face?
Users can explore and download pre-trained models, datasets, and applications from the Hub. They can also host and collaborate on their own ML projects, deploy models on Inference Endpoints, or upgrade Spaces applications to use GPUs.
How to use ModelScope?
Visit the ModelScope website, browse models, datasets, and studios, and use the platform's tools for model exploration, inference, training, deployment, and application building. You can also read the documentation, use the Python library, and register with an Alibaba Cloud account to access the free GPU quota for new users.
Compare Pros between Hugging Face and ModelScope
Core features of Hugging Face
- Model Hub: Access to thousands of pre-trained models.
- Dataset Hub: Repository of diverse datasets for ML tasks.
- Spaces: Platform for building and hosting ML applications.
- Inference Endpoints: Deploy models on fully managed infrastructure.
- Compute: Paid compute resources for deploying and running ML applications.
- Enterprise Solutions: Enterprise-grade security, access controls, and dedicated support.
Core features of ModelScope
- One-stop model exploration, inference, training, deployment, and application services
- Open-source model community with models, datasets, studios, and docs
- Zero-threshold usage with no environment installation required
- Free CPU resources and 100 hours of free GPU computing power for new users
- Support for large-model development with frameworks such as ModelScope Library, EvalScope, Swift, and ModelScope-Agent
Compare Use Cases
Use cases for Hugging Face
- Finding and using pre-trained models for various ML tasks.
- Collaborating on ML projects with other researchers and developers.
- Deploying ML applications for public use.
- Accelerating ML development with optimized compute resources.
- Building and sharing custom datasets.
Use cases for ModelScope
- Explore and compare the latest open-source AI models
- Run inference, fine-tune, and evaluate models using the ModelScope Library
- Build and demonstrate AI applications in ModelScope Studios
- Host and share datasets and model assets with the community
- Benchmark and assess large models with EvalScope
Different Plan between Hugging Face and ModelScope
Hugging Face
Free
Host unlimited public models, datasets, create unlimited orgs, access ML tools, community support.
$9/month
ZeroGPU and Dev Mode for Spaces, free credits across all Inference Providers, early access to features, Pro badge.
$20 per user per month
SSO and SAML support, select data location, audit logs, resource groups, centralized token control, Dataset Viewer for private datasets, advanced compute options for Spaces, 5x more ZeroGPU quota, deploy Inference on your own Infra, managed billing, priority support.
Starting at $0/hour
Free CPUs, build more advanced Spaces, 7 optimized hardware available, from CPU to GPU to Accelerators.
Starting at $0.032/hour
Deploy dedicated Endpoints in seconds, keep your costs low, fully-managed autoscaling, enterprise security.
ModelScope
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Hugging Face's traffic
Hugging Face is the one with 28.2M monthly visits and 00:05:01 Avg.visit duration. Hugging Face has a Page per visit of 6.28 and a bounce rate of 41.99%.
Visit Over Time
| Monthly Visits | 28.2M |
| Avg·visit Duration | 00:05:01 |
| Page per Visit | 6.28 |
| Bounce Rate | 41.99% |
ModelScope's traffic
ModelScope is the one with 2.9M monthly visits and 00:04:55 Avg.visit duration. ModelScope has a Page per visit of 7.21 and a bounce rate of 36.61%.
Visit Over Time
| Monthly Visits | 2.9M |
| Avg·visit Duration | 00:04:55 |
| Page per Visit | 7.21 |
| Bounce Rate | 36.61% |
Geography
The top 5 countries/regions for Hugging Face are:United States 19.78%, China 10.30%, India 8.91%, Germany 4.70%, Russia 4.23%
Top 5 Countries/regions
 | 19.78% |
 | 10.30% |
 | 8.91% |
 | 4.70% |
 | 4.23% |
Geography
The top 5 countries/regions for ModelScope are:China 82.99%, United States 4.63%, Hong Kong, China 4.02%, Taiwan, China 1.10%, India 0.60%
Top 5 Countries/regions
| 82.99% |
| 4.63% |
 | 4.02% |
 | 1.10% |
| 0.60% |
Traffic Sources
The 6 main sources of traffic to Hugging Face are:Direct 43.17%, vs_sourcesSearchOrganic 33.07%, Referrals 9.67%, vs_sourcesSocialOrganic 9.49%, vs_sourcesGenAi 3.60%, Mail 0.74%, vs_sourcesDisplayAds 0.13%, vs_sourcesSocialPaid 0.11%, vs_sourcesSearchPaid 0.01%, vs_sourcesAffiliate 0.00%
Direct | 43.17% |
vs_sourcesSearchOrganic | 33.07% |
Referrals | 9.67% |
vs_sourcesSocialOrganic | 9.49% |
vs_sourcesGenAi | 3.60% |
Mail | 0.74% |
vs_sourcesDisplayAds | 0.13% |
vs_sourcesSocialPaid | 0.11% |
vs_sourcesSearchPaid | 0.01% |
vs_sourcesAffiliate | 0.00% |
Traffic Sources
The 6 main sources of traffic to ModelScope are:Direct 58.83%, vs_sourcesSearchOrganic 24.06%, Referrals 12.54%, vs_sourcesSocialOrganic 1.64%, vs_sourcesSearchPaid 1.34%, vs_sourcesDisplayAds 0.95%, vs_sourcesGenAi 0.54%, Mail 0.09%, vs_sourcesSocialPaid 0.01%, vs_sourcesAffiliate 0.00%
Direct | 58.83% |
vs_sourcesSearchOrganic | 24.06% |
Referrals | 12.54% |
vs_sourcesSocialOrganic | 1.64% |
vs_sourcesSearchPaid | 1.34% |
vs_sourcesDisplayAds | 0.95% |
vs_sourcesGenAi | 0.54% |
Mail | 0.09% |
vs_sourcesSocialPaid | 0.01% |
vs_sourcesAffiliate | 0.00% |
Which is better: Hugging Face or ModelScope?
Hugging Face might be a bit more popular than ModelScope.As you can see, Hugging Face has 28.2M monthly visits, while ModelScope has 2.9M monthly visits. So more people choose Hugging Face. So the odds are that people will recommend Hugging Face more on social platforms.
Hugging Face has an Avg.visit duration of 00:05:01, while ModelScope has an Avg.visit duration of 00:04:55. Also, Hugging Face has a page per visit of 6.28 and a Bounce Rate of 41.99%. ModelScope has a page per visit of 7.21 and a Bounce Rate of 36.61%.
The main users of Hugging Face are United States, China, India, Germany, Russia, with the following distribution: 19.78%, 10.30%, 8.91%, 4.70%, 4.23%.
The main users of ModelScope are China, United States, Hong Kong, China, Taiwan, China, India, with the following distribution: 82.99%, 4.63%, 4.02%, 1.10%, 0.60%.
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