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。
Labelbox 记录了 762,803 月访问量,月度环比增长为 -22.8%,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 | labelbox.com | openwebui.com |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 76.28万 (762,803) | 80.45万 (804,534) |
| 月度环比流量变化 | -22.52万 (-22.8%) | -2.3万 (-2.8%) |
| 主要市场与份额 | 🇺🇸 美国 (21.9%) | 🇺🇸 美国 (24.5%) |
| 直接访问 / 月 | 37万 | 29.98万 |
| 用户评分 | 4.4 | 4.4 |
| 支持的平台 | 网站 | 网站 |

前沿 AI 训练所用的环境,以及负责重复性工作的智能体
覆盖视觉、语言与生成任务的结构化标注、数据策展、模型评估与人机协同复核,构成训练与评估数据的基础。
Recursion 智能体由构建、告警、代码提交、检查点和定时任务自主启动,并在后台持续工作直至任务完成且可审查。
专业智能体覆盖软件工程、可靠性、安全、ML 研究、评估、研发、产品与财务,从修复不稳定测试到撰写事故复盘初稿。
每次运行都由评分智能体打分,评分后的会话留下记忆、笔记与技能,供下一次会话在行动前读取。

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。
专项更强简化从标注到模型部署的端到端计算机视觉工作流程,但缺乏 Labelbox 的通用企业级智能体编排功能。


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。
提供强大的多模态标注与工作流程自动化,并为计算机视觉团队提供更直观的数据整理管道。