# Open WebUI vs OpenFlowKit

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. OpenFlowKit records 1,437 monthly visits with -70.3% growth and Free pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [OpenFlowKit](https://openaitools.app/tool/openflowkit) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://openflowkit.com |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Diagram Generator, AI Assistant, AI Code Assistant, Open Source AI Models |
| Pricing Model | Freemium | Free |
| Monthly Visits | 804,534 | 1,437 |
| MoM Growth Rate | -2.8% | -70.3% |
| Primary Market | United States | Vietnam |
| Direct Visits | 299,835 | 614 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Open WebUI

Open WebUI is an open-source, self-hosted interface for working with AI models. Instead of renting access to a single vendor's chatbot, you run the interface on your own hardware or cloud tenancy, then connect whatever models you want: local runtimes such as Ollama, OpenAI-compatible endpoints, Anthropic, or a mix of local and remote. Everything a team produces — conversations, prompts, models, skills and tools — stays in an environment you administer.

The platform has grown well beyond a chat window. Retrieval-augmented generation, web search, document understanding, voice input and output, and vision are built in, and Python tools, functions and pipelines let developers script custom behaviour and share it. On the operations side it offers enterprise features such as SSO, role-based access control, audit logs, data residency options, and on-premises, hybrid or fully air-gapped deployment for regulated environments. White-labeling and custom branding are also available for organizations that want their own look.

Open WebUI is distributed free of charge under an open-source license and can be installed with a single pip or Docker command, with no account required to get running. A separate enterprise offering is available for organizations that want commercial support, compliance guarantees and managed rollout help, which is quoted on contact. A large community maintains a public hub of prompts, models, tools and functions, so much of what teams need is already shared and ready to install.

**Pricing & Plans:** 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.

- **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.

**Strengths:** 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

**Limitations:** 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

[Profile (Markdown)](https://openaitools.app/tool/open-webui.md)

## OpenFlowKit

OpenFlowKit is an open-source diagramming studio built for engineers who think in systems. It supports three ways of working on one canvas: freehand drawing with shapes, connectors, ink, images and charts; writing the diagram as code in Mermaid, D2 or Structurizr; or letting an AI agent build and edit it live through the Model Context Protocol. Text and canvas stay in sync, so you can start with a snippet and finish with something visual.

A standout v2 feature maps a public GitHub repository directly in the browser: paste an owner/repo URL and OpenFlowKit reads the files, produces boxes and connections, and cites each arrow back to the exact line of code it came from. Private repositories can be mapped locally through the CLI. The result is architecture documentation that reflects the code rather than someone's memory of it.

OpenFlowKit is also practical for day-to-day diagramming: a toolset of 29 MCP tools for agents, C4 context/container/component views that stay connected to one underlying model, automatic matching of 2,000+ cloud and developer icons by node label, animated SVG/GIF/MP4 export, share links and self-hosting. It is MIT licensed, runs locally by default and needs no account.

**Pricing & Plans:** Free and open source under the MIT licence. There is no paid tier on the site; you can start creating without signing up, and the code can be self-hosted.

- **Repo-to-map generation:** Paste a public GitHub repository and OpenFlowKit reads its files in the browser to draw modules and connections, with every arrow cited to the source line it came from.
- **Agent-native canvas over MCP:** 29 diagram tools for Claude Code, Codex, Cursor, VS Code, Windsurf or any MCP client, so an agent can draw on the diagram you have open, one undo away.
- **Diagram as code:** Write or paste Mermaid, D2 or Structurizr; the text and the canvas remain the same diagram, so you can round-trip between syntax and visuals.
- **Connected C4 model views:** Move from system context to containers to components in linked views that all stay grounded in a single architecture model.
- **Icon matching and motion export:** Label a node 'PostgreSQL' or 'Kubernetes' and the right icon is matched automatically from 2,000+ cloud and developer icons; export animated SVG, GIF, MP4 or WebM for living documentation.

**Strengths:** Free, MIT-licensed and local-first with no account required; Unique repo-to-diagram mapping that cites each connection back to code; Works equally well for hand drawing, diagram-as-code and AI-agent workflows; Strong ecosystem coverage with automatic matching of 2,000+ cloud and developer icons

**Limitations:** No hosted paid support or managed cloud option is advertised, so teams self-host; Advanced MCP and CLI repo mapping assumes comfort with developer tooling; C4 model depth and multiple views can feel heavy for quick one-off sketches

[Profile (Markdown)](https://openaitools.app/tool/openflowkit.md)

## Frequently Asked Questions

### How do Open WebUI and OpenFlowKit compare in monthly traffic?

Open WebUI has 804,534 monthly visits, while OpenFlowKit has 1,437. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Open WebUI has a month-over-month growth rate of -2.8%; OpenFlowKit has -70.3%.

### How does pricing compare?

Open WebUI: Freemium. 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. OpenFlowKit: Free. Free and open source under the MIT licence. There is no paid tier on the site; you can start creating without signing up, and the code can be self-hosted.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Functions primarily as a lightweight CLI runtime for local models rather than a full-featured chat interface. | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Specializes in visual workflow building and RAG pipelines rather than serving purely as a chat interface. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals. | [.md](https://openaitools.app/tool/lobehub.md) |
| 7 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | AI diagrams and technical design docs built from your code and systems | [.md](https://openaitools.app/tool/eraser.md) |
| 8 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Focuses heavily on privacy-first document chat and local RAG pipelines, but offers fewer general-purpose chat UI features. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 9 | [Edraw Software](https://openaitools.app/tool/edraw-software) | 436,337 | -2.8% | Freemium, Free Trial | AI diagramming, mind mapping and project tools with 50,000+ templates | [.md](https://openaitools.app/tool/edraw-software.md) |
| 10 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Offers robust multi-provider support and advanced user permission management, but has a slightly different configuration setup. | [.md](https://openaitools.app/tool/librechat.md) |

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Source: https://openaitools.app/compare/open-webui-vs-openflowkit

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