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。Open WebUI 记录了 804,534 月访问量，增长率为 -2.8%，定价为免费增值。
Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | datavlab.ai | openwebui.com |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 1.27万 (12,740) | 80.45万 (804,534) |
| 月度环比流量变化 | -1079 (-7.8%) | -2.3万 (-2.8%) |
| 主要市场与份额 | 🇺🇸 美国 (27%) | 🇺🇸 美国 (24.5%) |
| 直接访问 / 月 | 5125 | 29.98万 |
| 用户评分 | 4.2 | 4.4 |
| 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。
Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface.
RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources.
Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others.
SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements.
免费 / 开源主要作为本地模型的轻量级 CLI 运行时，而非功能齐全的聊天界面。
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Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals.
专项更强强烈专注于注重隐私的文件聊天与本地 RAG 管道，但提供较少的通用聊天 UI 功能。
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.
