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。Lovable 记录了 31,052,090 月访问量,增长率为 +3.8%,定价为免费增值。
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | clear.ml | lovable.dev |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 2.01万 (20,123) | 3105.21万 (31,052,090) |
| 月度环比流量变化 | -3.14万 (-60.9%) |
| +115万 (+3.8%) |
| 主要市场与份额 | 🇩🇪 德国 (27.4%) | 🇺🇸 美国 (20.6%) |
|---|
| 直接访问 / 月 | 6667 | 2026.56万 |
|---|
| 用户评分 | 4.3 | 4.8 |
|---|
| 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。
用对话描述想法,Lovable 把它变成可运行的网站或应用
用日常语言描述功能,构建器便会创建或修改全栈 Web 应用的界面、逻辑与结构。
生成前端、后端函数与数据库支撑的功能,而不只是静态效果图,让成果真正能跑起来。
把项目部署到可分享的线上地址,准备正式上线时再绑定自定义域名。
将应用接入外部 API 与服务,并在产品内直接加入对话、搜索或内容生成等 AI 能力。
#2免费 / 开源在本地或云端运行和构建开源 AI 模型

专项更强Focuses heavily on high-end visual design and marketing sites with AI generation, but less on complex backends.
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.

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.
在对话中描述应用,直接上线
专项更强Focuses heavily on high-end visual design and marketing sites with AI generation, but less on complex backends.
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.
一款极其相似的浏览器端全栈 AI 构建工具,支持直接代码编辑与实时预览。
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.