# Open WebUI 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Open WebUI（openwebui.com）是一个收录在 Large Language Models (LLMs) 下的 AI 平台，月访问量为 80.45万，月度环比流量变化为 -2.3万（-2.8%）。其主要地理市场为美国（24.5% 流量份额），采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 LibreChat（34.69万次访问/月），Ollama（942.2万次访问/月），AnythingLLM（51.23万次访问/月）。 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. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Open WebUI | | 标识 | open-webui | | Status | active | | Origin | independent | | Maintenance | active | | 官方域名 | openwebui.com | | 官网地址 | https://openwebui.com | | 分类 | Large Language Models (LLMs), AI 聊天机器人, Open Source AI Models, AI Developer Tools, AI Workflow, AI 助手 | | 定价模式 | 免费增值 | | 月访问量 | 804,534 | | 月度环比流量变化 | -23,011 | | 月度环比增长率 | -2.8% | | 主要市场 | 美国 | | 市场份额 | 24.5% | | 直接访问量 | 299,835 | | 自然搜索访问 | — | | 社交访问 | — | | 推荐访问 | 87,554 | | 邮件访问 | 3,501 | | 评价得分 | 4.4 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 功能: 网站; 定价: 定价请咨询; 定价: 免费 | | 标签 | Open WebUI, 自托管 AI 平台, AI 聊天界面, 本地 LLM, 云端大模型, LLM 网页界面, Ollama 界面, Ollama 网页界面, ChatGPT 替代方案, Claude 替代品, 开源大模型, 私有 AI, 本地 AI 聊天, AI 提示词, 提示词库, AI 工具, AI 功能, AI 流水线, Python 扩展, RAG（检索增强生成）, 检索, 搜索, 语音, 视觉, SSO, RBAC（基于角色的访问控制）, 审计日志, 数据驻留, 气隙隔离部署, 本地部署, 混合部署, 白标, 自定义品牌, 企业级 AI, 模型集成, 社区市集 | ## 概览 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. ## 定价与套餐 The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. ## 关键功能与能力 - **Any Model, Any Endpoint:** Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface. - **Retrieval and Search Built In:** RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources. - **Python Tools, Functions and Pipelines:** Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others. - **Enterprise Controls:** SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements. - **Community Hub:** Browse and install prompts, models, skills and tools contributed by hundreds of thousands of community members. ## 主要用例 - **Private AI for the Whole Company (IT and Platform Teams):** Deploy one controlled AI workspace with SSO and audit logs, keeping prompts and data inside your own infrastructure or tenancy. - **Local Model Playground (Developers):** Run and compare local models through Ollama, then wrap them with Python tools and pipelines for custom workflows. - **Air-Gapped Deployment (Regulated Industries):** Operate entirely offline in defence, healthcare, finance or government settings where data cannot leave the building. - **Document-Grounded Research (Researchers and Writers):** Upload source material and use retrieval plus web search to get cited answers instead of unsupported text. ## 优势 - Free and open source with no account needed to install - Works with local and cloud models through a single interface - Strong privacy posture: your data and models stay on your infrastructure - Extensive enterprise features including SSO, RBAC and audit logs - Large, active community hub of shared prompts, tools and models ## 局限 - Self-hosting requires you to handle servers, updates and backups - Some enterprise capabilities and support sit behind a paid, quote-based tier - Feature depth means a learning curve for non-technical administrators - Local model performance depends heavily on your own hardware ## 常见问题 ### Is Open WebUI free? Yes. The core platform is free and open source and can be installed with a pip or Docker command without creating an account. A separate enterprise offering with commercial support and compliance guarantees is priced on contact. ### Which models does it support? It connects to local runtimes such as Ollama as well as OpenAI-compatible and Anthropic endpoints, and you can mix local and cloud models in the same workspace. ### Can it run without internet access? Yes. Open WebUI supports on-premises, hybrid and fully air-gapped deployments, which is why it is used in regulated sectors. ### Do I need technical skills to run it? The initial install is a single command, but ongoing operation — updates, storage, authentication and backups — is best handled by someone comfortable with servers or Docker. ### Can I extend it with my own code? Yes. Python tools, functions and pipelines let you add custom behaviour, and anything you build can be shared through the community hub. ### Open WebUI 的月流量和增长趋势如何？ Open WebUI 目前每月获得 80.45万访问量，月度环比流量变化为 -2.3万（增长率 -2.8%）。其主要来源市场是美国（24.5% 份额），包括每月 29.98万次直接访问和每月 — 次自然搜索访问。 ### Open WebUI 免费吗？它的定价模式是什么？ Open WebUI 采用免费增值定价模式。The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. 支持的计费和结账平台包括：未列出。 ### 2026 年 Open WebUI 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Open WebUI 的前五个替代方案是：1. LibreChat（34.69万次访问/月）; 2. Ollama（942.2万次访问/月）; 3. AnythingLLM（51.23万次访问/月）; 4. LobeChat（1.14万次访问/月）; 5. Jan（29.19万次访问/月）。 ### Open WebUI 支持哪些平台和核心 AI 能力？ Open WebUI 被归类在 Large Language Models (LLMs), AI 聊天机器人, Open Source AI Models, AI Developer Tools 下，支持以下平台：网站，其核心能力标签包括：Open WebUI, 自托管 AI 平台, AI 聊天界面, 本地 LLM, 云端大模型, LLM 网页界面。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [LibreChat](https://openaitools.app/zh/tool/librechat) | 346,879 | 免费 | [对比](https://openaitools.app/zh/compare/librechat-vs-open-webui) | | [Ollama](https://openaitools.app/zh/tool/ollama) | 9,421,973 | Free, Freemium, Paid | [对比](https://openaitools.app/zh/compare/ollama-vs-open-webui) | | [AnythingLLM](https://openaitools.app/zh/tool/anythingllm) | 512,269 | 免费增值 | [对比](https://openaitools.app/zh/compare/anythingllm-vs-open-webui) | | [LobeChat](https://openaitools.app/zh/tool/lobechat) | 11,369 | 免费增值，免费 | [对比](https://openaitools.app/zh/compare/lobechat-vs-open-webui) | | [Jan](https://openaitools.app/zh/tool/jan) | 291,894 | 免费 | [对比](https://openaitools.app/zh/compare/jan-vs-open-webui) | | [Dify](https://openaitools.app/zh/tool/dify-ai) | 819,691 | 免费增值 | [对比](https://openaitools.app/zh/compare/dify-ai-vs-open-webui) | | [Lemonade](https://openaitools.app/zh/tool/lemonade-ai) | 96,232 | 免费 | [对比](https://openaitools.app/zh/compare/lemonade-ai-vs-open-webui) | | [LobeHub](https://openaitools.app/zh/tool/lobehub) | 654,548 | 免费增值 | [对比](https://openaitools.app/zh/compare/lobehub-vs-open-webui) | | [n8n](https://openaitools.app/zh/tool/n8n) | 4,522,449 | 免费增值 | [对比](https://openaitools.app/zh/compare/n8n-vs-open-webui) | | [Clawdbot（OpenClaw）](https://openaitools.app/zh/tool/clawdbot) | 1,903,068 | 付费，免费 | [对比](https://openaitools.app/zh/compare/clawdbot-vs-open-webui) | | [Activepieces](https://openaitools.app/zh/tool/activepieces) | 258,553 | 免费增值 | [对比](https://openaitools.app/zh/compare/activepieces-vs-open-webui) | | [Hermes-Agent](https://openaitools.app/zh/tool/hermes-agent-1) | 3,638,741 | 免费增值 | [对比](https://openaitools.app/zh/compare/hermes-agent-1-vs-open-webui) | --- 来源：https://openaitools.app/zh/tool/open-webui