# ModelScope vs SuperAnnotate

ModelScope enregistre 3 085 423 visites mensuelles avec une croissance mensuelle de +5,1 % et un modèle tarifaire Gratuit. SuperAnnotate enregistre 386 034 visites mensuelles avec une croissance de +37,4 % et un modèle tarifaire Essai gratuit, Tarifs sur demande.

| Métrique | [ModelScope](https://openaitools.app/fr/tool/modelscope-community) | [SuperAnnotate](https://openaitools.app/fr/tool/super-annotate) |
| :--- | :--- | :--- |
| URL du site web | https://www.modelscope.cn | https://www.superannotate.com |
| Catégories | Modèles d'IA open source, Modèles IA, Outils de développement IA, Large Language Models (LLMs) | AI Workflow, Outils de développement IA, Gestion de projet IA |
| Modèle tarifaire | Gratuit | Essai gratuit, Tarifs sur demande |
| Visites mensuelles | 3 085 423 | 386 034 |
| Taux de croissance mensuel | +5,1 % | +37,4 % |
| Marché principal | Chine | États-Unis |
| Visites directes | 2 108 104 | 248 258 |
| Score d'avis | 4,5 | 4,6 |
| Nombre d'enregistrements | 0 | 0 |
| Plateformes prises en charge | Site web | Site web |

## ModelScope

ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

**Tarifs et offres:** Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services.

- **Model & Dataset Hub:** Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks.
- **One-click Online Demos:** Try models directly in the browser through hosted inference demos without local setup.
- **Free Notebook Compute:** Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources.
- **Python Library & SDK:** Integrate ModelScope models into your own pipelines using the official Python package and APIs.
- **Community & Benchmarks:** Join competitions, publish model cards, and compare results through community benchmarks and leaderboards.

**Forces:** Huge, free catalog of models and datasets; Built-in online demos require no installation; Complimentary GPU/CPU notebook compute; Strong integration with Alibaba Cloud for scaling

**Limites:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers

[Profile (Markdown)](https://openaitools.app/fr/tool/modelscope-community.md)

## SuperAnnotate

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

**Tarifs et offres:** SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

- **Customizable multimodal editor:** One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
- **Data curation and exploration:** Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
- **Analytics and insights:** Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
- **Compute orchestration:** Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
- **Managed Data Operations:** Optional access to SuperAnnotate's own annotation experts and AI DataOps consultants to run large or specialized data programs end to end.

**Forces:** Unified editor removes the need to maintain separate tools per modality; Rich project management and quality analytics suited to large distributed teams; Enterprise-grade governance features such as SSO and dedicated support channels; Managed data-operations services let you outsource complex or high-volume programs

**Limites:** No public list price, so budgeting requires a sales conversation; Advanced analytics, SSO, and dedicated support are locked to higher tiers; The breadth of features can be heavy for individuals or very small teams; Compute orchestration capacity is metered and may require planning for large jobs

[Profile (Markdown)](https://openaitools.app/fr/tool/super-annotate.md)

## Questions fréquentes

### Comment ModelScope et SuperAnnotate se comparent-ils en termes de trafic mensuel ?

ModelScope enregistre 3 085 423 visites mensuelles, tandis que SuperAnnotate enregistre 386 034. Les estimations de trafic décrivent la taille de l'audience, pas la qualité du produit.

### Comment leurs taux de croissance se comparent-ils ?

ModelScope a un taux de croissance mensuel de +5,1 % ; SuperAnnotate a +37,4 %.

### Comment les tarifs se comparent-ils ?

ModelScope : Gratuit. Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. SuperAnnotate : Essai gratuit, Tarifs sur demande. SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

## Alternatives

| # | Nom de l'outil | Visites mensuelles | Taux de croissance mensuel | Modèle tarifaire | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hugging Face](https://openaitools.app/fr/tool/hugging-face) | 31 232 542 | +0,1 % | Freemium, Payant | Le pôle d'IA open source de référence mondiale proposant des répertoires de modèles et de jeux de données bien plus vastes que ModelScope. | [.md](https://openaitools.app/fr/tool/hugging-face.md) |
| 2 | [OpenRouter](https://openaitools.app/fr/tool/openrouter-ai) | 19 941 437 | -6,2 % | Payant | Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting. | [.md](https://openaitools.app/fr/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/fr/tool/ollama) | 9 421 973 | +4,3 % | Free, Freemium, Paid | Exécution CLI locale rationalisée pour les LLMs, mais dépourvue d'hébergement Web et de découverte de jeux de données de ModelScope. | [.md](https://openaitools.app/fr/tool/ollama.md) |
| 4 | [Civitai](https://openaitools.app/fr/tool/civitai) | 6 963 136 | +12,8 % | Freemium | Excellent pôle communautaire spécialisé dans les modèles d'images et de médias génératifs, mais dépourvu du large support NLP et code de ModelScope. | [.md](https://openaitools.app/fr/tool/civitai.md) |
| 5 | [Together AI](https://openaitools.app/fr/tool/together-ai) | 1 645 930 | +64,9 % | Freemium, Payant | Infrastructure cloud robuste pour exécuter des modèles open source via API, mais dépourvue de la découverte de modèles pilotée par la communauté et de l'espace de travail de démo de ModelScope. | [.md](https://openaitools.app/fr/tool/together-ai.md) |
| 6 | [Open WebUI](https://openaitools.app/fr/tool/open-webui) | 804 534 | -2,8 % | Freemium | Interface de chat auto-hébergée riche en fonctionnalités pour les modèles locaux, mais dépourvue du dépôt complet de poids de modèles bruts et de jeux de données de ModelScope. | [.md](https://openaitools.app/fr/tool/open-webui.md) |
| 7 | [Labelbox](https://openaitools.app/fr/tool/labelbox) | 762 803 | -22,8 % | Tarifs sur demande | Solide étiquetage de données d'entreprise et automatisation d'agents, mais avec une interface collaborative et une tarification distinctes. | [.md](https://openaitools.app/fr/tool/labelbox.md) |
| 8 | [Appen](https://openaitools.app/fr/tool/appen-com) | 665 840 | +0,2 % | Tarifs sur demande | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/fr/tool/appen-com.md) |
| 9 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/fr/tool/prompts) | 315 624 | -80,2 % | Freemium, Tarifs sur demande, Gratuit | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/fr/tool/prompts.md) |
| 10 | [Jan](https://openaitools.app/fr/tool/jan) | 291 894 | -9,6 % | Gratuit | Application de bureau conviviale pour l'exécution locale de modèles, mais axée sur le client plutôt que sur les hubs de modèles cloud. | [.md](https://openaitools.app/fr/tool/jan.md) |

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Source : https://openaitools.app/fr/compare/modelscope-community-vs-super-annotate

More Markdown: [Catégories](https://openaitools.app/fr/categories.md) · [Classements de trafic](https://openaitools.app/fr/rankings.md) · [llms.txt](https://openaitools.app/fr/llms.txt)