ClearML 记录了 20,123 月访问量,月度环比增长为 -60.9%,定价为定价请咨询。Cursor 记录了 23,297,751 月访问量,增长率为 +8.4%,定价为免费增值。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | clear.ml | cursor.com |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 2.01万 (20,123) | 2329.78万 (23,297,751) |
| 月度环比流量变化 | -3.14万 (-60.9%) | +180.03万 (+8.4%) |
| 主要市场与份额 | 🇩🇪 德国 (27.4%) | 🇺🇸 美国 (24.1%) |
| 直接访问 / 月 | 6667 | 1468.38万 |
| 用户评分 | 4.3 | 4.7 |
| 支持的平台 | 网站 | 网站 |

面向企业的 AI 基础设施平台,统一管理 GPU 集群并加速模型落地
统一连接和管理本地、云端与混合 GPU 集群,支持多租户、RBAC、配额管理、GPU 分片与优先级调度。
面向构建者的工作台,含集成开发环境、实验追踪、数据集成、仪表盘、流水线、模型仓库与 CI/CD 集成。
在既有集群上部署 LLM,自动处理网络、认证与安全,让团队以较少手动配置上线安全的模型 API。
按计算时长、存储和 API 调用细粒度追踪成本,帮助 IT 团队把开销分摊回实际使用的项目与部门。

打造宏大软件的 AI 编程智能体
智能体模式会规划改动、同时编辑多个文件、运行测试,并持续迭代直到任务完成。
后台智能体会启动独立环境,并行构建、测试并演示功能,然后把结果交回供审核。
快速的即时补全,加上全代码库的语义搜索与索引,让回答基于你真实的代码库。
可在多家厂商的前沿模型之间切换,也可以让 Cursor 针对每个任务自动选择模型。

专项更强Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories.
免费 / 开源在本地或云端运行和构建开源 AI 模型

免费 / 开源拥有无与伦比的插件支持和官方 Copilot 集成,但缺乏 Cursor 那种开箱即用的深度代码库索引和智能代理编辑功能。
免费 / 开源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.
免费 / 开源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.
专项更强Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor.
免费 / 开源会学习你编码品味的 AI 编程智能体

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.
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.