# Open WebUI 依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，Open WebUI（openwebui.com）是收錄於 Large Language Models (LLMs) 的 AI 平台，每月產生 80.45萬次造訪，月流量變化量為 -2.3萬（-2.8%）。其主要地理市場為美國（流量佔比 24.5%），並採用免費增值定價模式。依每月流量計算的主要競爭替代方案包括 LibreChat（每月 34.69萬次造訪），Ollama（每月 942.2萬次造訪），AnythingLLM（每月 51.23萬次造訪）。 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. ## 主要觀測資料與規格 | 指標 | 數值 | | :--- | :--- | | 工具名稱 | Open WebUI | | 代稱 | open-webui | | Status | active | | Origin | independent | | Maintenance | active | | 官方網域 | openwebui.com | | 網站網址 | https://openwebui.com | | 分類 | Large Language Models (LLMs), AI 聊天機器人, 開源 AI 模型, AI 開發者工具, AI Workflow, AI 助手 | | 定價模式 | 免費增值 | | 每月造訪次數 | 804,534 | | 月流量變化 | -23,011 | | 月成長率 | -2.8% | | 主要市場 | 美國 | | 市佔率 | 24.5% | | 直接造訪 | 299,835 | | 自然搜尋造訪 | — | | 社群造訪 | — | | 推薦流量造訪 | 87,554 | | 電子郵件造訪 | 3,501 | | 評論分數 | 4.4 | | 收藏數 | 0 | | 支援平台 | 網站 | | 帳務平台 | | | 屬性 | 功能: 網站; 價格: 需聯絡報價; 價格: 免費 | | 標籤 | Open WebUI, 自託管 AI 平台, AI 聊天介面, 本地 LLM, 雲端大型語言模型, LLM 網頁介面, Ollama 介面, Ollama 網頁介面, ChatGPT 替代方案, Claude 替代方案, 開源大型語言模型, 私有 AI, 本地 AI 聊天, AI 提示詞, 提示詞庫, AI 工具, AI 功能, AI 管線, Python 擴充功能, RAG（檢索增強生成）, 檢索, 搜尋, 語音, 視覺, SSO, RBAC（角色型存取控制）, 稽核記錄, 資料駐留, 氣隙隔離部署, 地端部署, 混合部署, 白標, 自訂品牌, 企業級 AI, 模型整合, 社群市集 | ## 總覽 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. ## 價格與方案 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. ## 關鍵功能與能力 - **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. ## 主要使用情境 - **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. ## 優勢 - 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 ## 限制 - 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 ## 常見問題 ### 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 的每月流量與成長趨勢為何？ Open WebUI 目前每月有 80.45萬次造訪，月流量變化為 -2.3萬（成長率 -2.8%）。其主要來源市場為美國（佔比 24.5%），其中包含每月 29.98萬次直接造訪與每月 — 次自然搜尋造訪。 ### Open WebUI 是免費的嗎？其定價模式為何？ Open WebUI 採用免費增值定價模式。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. 支援的帳務與結帳平台包括：未列出。 ### 2026 年最佳的 Open WebUI 替代方案有哪些？ 依據 OpenAITools.app 的分類流量與功能契合度，Open WebUI 的前五大替代方案為：1. LibreChat（每月 34.69萬次造訪）; 2. Ollama（每月 942.2萬次造訪）; 3. AnythingLLM（每月 51.23萬次造訪）; 4. LobeChat（每月 1.14萬次造訪）; 5. Jan（每月 29.19萬次造訪）。 ### Open WebUI 支援哪些平台與核心 AI 能力？ Open WebUI 分類於 Large Language Models (LLMs), AI 聊天機器人, 開源 AI 模型, AI 開發者工具，支援以下平台：網站，其核心能力標籤包括：Open WebUI, 自託管 AI 平台, AI 聊天介面, 本地 LLM, 雲端大型語言模型, LLM 網頁介面。 ## 替代方案 | 工具名稱 | 每月造訪次數 | 定價模式 | 比較 | | :--- | :--- | :--- | :--- | | [LibreChat](https://openaitools.app/tw/tool/librechat) | 346,879 | 免費 | [比較](https://openaitools.app/tw/compare/librechat-vs-open-webui) | | [Ollama](https://openaitools.app/tw/tool/ollama) | 9,421,973 | Free, Freemium, Paid | [比較](https://openaitools.app/tw/compare/ollama-vs-open-webui) | | [AnythingLLM](https://openaitools.app/tw/tool/anythingllm) | 512,269 | 免費增值 | [比較](https://openaitools.app/tw/compare/anythingllm-vs-open-webui) | | [LobeChat](https://openaitools.app/tw/tool/lobechat) | 11,369 | 免費增值、免費 | [比較](https://openaitools.app/tw/compare/lobechat-vs-open-webui) | | [Jan](https://openaitools.app/tw/tool/jan) | 291,894 | 免費 | [比較](https://openaitools.app/tw/compare/jan-vs-open-webui) | | [Dify](https://openaitools.app/tw/tool/dify-ai) | 819,691 | 免費增值 | [比較](https://openaitools.app/tw/compare/dify-ai-vs-open-webui) | | [Lemonade](https://openaitools.app/tw/tool/lemonade-ai) | 96,232 | 免費 | [比較](https://openaitools.app/tw/compare/lemonade-ai-vs-open-webui) | | [LobeHub](https://openaitools.app/tw/tool/lobehub) | 654,548 | 免費增值 | [比較](https://openaitools.app/tw/compare/lobehub-vs-open-webui) | | [n8n](https://openaitools.app/tw/tool/n8n) | 4,522,449 | 免費增值 | [比較](https://openaitools.app/tw/compare/n8n-vs-open-webui) | | [Clawdbot（OpenClaw）](https://openaitools.app/tw/tool/clawdbot) | 1,903,068 | 付費、免費 | [比較](https://openaitools.app/tw/compare/clawdbot-vs-open-webui) | | [Activepieces](https://openaitools.app/tw/tool/activepieces) | 258,553 | 免費增值 | [比較](https://openaitools.app/tw/compare/activepieces-vs-open-webui) | | [Hermes-Agent](https://openaitools.app/tw/tool/hermes-agent-1) | 3,638,741 | 免費增值 | [比較](https://openaitools.app/tw/compare/hermes-agent-1-vs-open-webui) | --- 來源：https://openaitools.app/tw/tool/open-webui