DataVLab 记录了 12,740 月访问量，月度环比增长为 -7.8%，定价为定价请咨询。ModelScope 记录了 3,085,423 月访问量，增长率为 +5.1%，定价为免费。
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.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | datavlab.ai | modelscope.cn |
| 定价模式 | 定价请咨询 | 免费 |
| 月访问量 | 1.27万 (12,740) | 308.54万 (3,085,423) |
| 月度环比流量变化 | -1079 (-7.8%) | +14.91万 (+5.1%) |
| 主要市场与份额 | 🇺🇸 美国 (27%) | 🇨🇳 中国 (82.3%) |
| 直接访问 / 月 | 5125 | 210.81万 |
| 用户评分 | 4.2 | 4.5 |
| 支持的平台 | 网站 | 网站 |
面向受监管行业 AI 与机器学习团队的 ISO 27001 数据标注服务
提供边界框、多边形、分割掩码、关键点、地标点和分类标签，用于检测、分割与分类模型，每批数据均经人工校验。
逐帧框选、掩码、关键点和身份一致的目标轨迹，服务于检测、追踪与动作识别模型，并在序列层面完成验证。
3D 立方体、点云分割、可行驶区域标注和目标追踪，适用于机器人、自动驾驶、地理空间与工业 AI 项目。
文本区域标注、文档切分、手写体标注和结构化字段抽取，并提供量化评分标准下的 LLM 评估与生成式 AI 对齐数据。
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.
Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks.
Try models directly in the browser through hosted inference demos without local setup.
Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources.
Integrate ModelScope models into your own pipelines using the official Python package and APIs.
免费 / 开源作为全球标准的开源 AI 枢纽，提供比 ModelScope 大得多的模型与数据集库。
专项更强Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting.
专项更强Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting.
免费 / 开源用于运行大语言模型的精简本地 CLI 运行环境，但缺乏 ModelScope 的网页版模型托管与数据集发现功能。
通过 API 运行开源模型的强大云端基础设施，但缺乏 ModelScope 社区驱动的模型发现与演示工作区。
免费 / 开源功能丰富的本地模型自托管聊天界面，但缺乏 ModelScope 全面的原始模型权重和数据集代码库。
免费 / 开源功能丰富的本地模型自托管聊天界面，但缺乏 ModelScope 全面的原始模型权重和数据集代码库。
前沿 AI 训练所用的环境，以及负责重复性工作的智能体
免费 / 开源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.
免费 / 开源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.
专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
