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。

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 | getmarkup.com | openwebui.com |
| 定价模式 | 免费 | 免费增值 |
| 月访问量 | 263 (263) | 80.45万 (804,534) |
| 月度环比流量变化 | -57 (-17.8%) | -2.3万 (-2.8%) |
| 主要市场与份额 | 🇹🇷 土耳其 (100%) | 🇺🇸 美国 (24.5%) |
| 直接访问 / 月 | 109 | 29.98万 |
| 用户评分 | 4 | 4.4 |
| 支持的平台 | 网站 | 网站 |

借助 AI 辅助标注,将自由文本变成结构化的可训练数据。
对文档和自由文本进行标注,把姓名、实体、关系和字段抽取为整洁的表格或 JSON 输出。
专为 NLP 与机器学习流程打造,导出的数据集无需大量重新格式化即可接入模型训练流水线。
AI 会给出标签和抽取建议,减少重复的手工工作,同时让你对正确性保留最终决定权。
交互式演示让你在正式开展完整项目之前先体验标注流程。

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。

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。

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.