Base44 记录了 14,039,232 月访问量,月度环比增长为 +0.5%,定价为免费增值,付费,定价请咨询。Datature 记录了 24,530 月访问量,增长率为 -23.2%,定价为免费增值,付费,定价请咨询。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | base44.com | datature.io |
| 定价模式 | 免费增值,付费,定价请咨询 | 免费增值,付费,定价请咨询 |
| 月访问量 | 1403.92万 (14,039,232) | 2.45万 (24,530) |
| 月度环比流量变化 | +7.46万 (+0.5%) | -7429 (-23.2%) |
| 主要市场与份额 | 🇺🇸 美国 (32.1%) | 🇮🇳 印度 (27.8%) |
| 直接访问 / 月 | 781.66万 | 9829 |
| 用户评分 | 4.4 | 4.2 |
| 支持的平台 | 网站 | 网站 |

用一句话描述就能构建可用的应用、网站与 AI 智能体
描述一个想法即可得到已配置数据库、身份验证、支付与托管的应用,无需搭建服务器或基础设施。
生成包含布局、文案与设计的完整网站,并内置 SEO 工具与自定义域名支持,一键即可发布。
创建 7×24 小时运行的 AI 智能体,连接你的工具、执行真实操作、管理数据并自动完成重复工作流。
可连接 Google Calendar、Gmail、Slack、Notion、HubSpot、Salesforce 等,其他服务通过 API 接入。

面向标注、训练与部署的一体化计算机视觉平台
通过自动标注、模型辅助标注、像素级分割工具以及共识与审批流程,加速数据准备并保持跨标注者的一致性。
在拖拽式界面搭建训练流程,调整架构、批量大小与训练轮数,并对照真实标注可视化评估模型表现。
训练分类、目标检测、关键点与分割模型,覆盖内容打标、追踪、姿态估计与像素级分析等场景。
通过托管 API 将模型部署到边缘或云端,配合监控、弹性伸缩与安全认证支撑生产推理。

专项更强An AI-native code editor offering deeper multi-file control, but demands more developer experience than zero-code platforms.

专项更强Transforms spreadsheets into interactive business apps easily, but lacks the raw code generation flexibility of full-stack AI builders.
Turns conversational prompts into published web and mobile apps, but has fewer enterprise-grade scaling templates.

专项更强Generates complete websites quickly from text prompts or screenshots, but lacks advanced dynamic database application features.
专项更强Generates complete websites quickly from text prompts or screenshots, but lacks advanced dynamic database application features.

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.