# Open WebUI vs Skyelight

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. Skyelight records 0 monthly visits with 0% growth and Freemium, Contact for Pricing pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [Skyelight](https://openaitools.app/tool/skeylight) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://www.skyelight.ai |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Developer Tools, AI Product Manager, AI Productivity Tools |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 804,534 | 0 |
| MoM Growth Rate | -2.8% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 299,835 | 0 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 1 |
| 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)

## Skyelight

Skyelight replaces the familiar mess of screenshots, email chains and Slack messages with feedback that is anchored to the thing being discussed. Reviewers — designers, clients, product managers, freelancers, stakeholders who join as free reviewers — click an element on the real page, from localhost prototype through to production, and drop a comment on it. Each thread carries context such as the component, the source file and line, the branch and the commit, so nobody has to guess what "this button is cut off on iPhone" refers to.

A distinguishing feature is automatic classification: as a comment is typed, Skyelight tags it as a bug, feedback, idea, design inspiration, page copy or another custom type, and you can filter and bulk-manage threads by category. Teams can also publish Claude artifacts and design surfaces into Skyelight so external stakeholders or clients can comment on a hosted link, and everything returns to the same workspace.

What makes it unusual is agent access. An MCP server (and a REST API) is available on every plan, so Claude, Claude Code, Cursor, Codex, Grok, Windsurf, Lovable and Bolt can list open threads, fix them in the codebase and reply on each thread with a link to the commit. The vendor positions this as taking feedback loops beyond Slack, Teams, email and Google Docs while keeping the human review workflow intact for people who like working collaboratively. Skyelight ships a free tier with MCP and REST API included, plus paid Pro and Team plans for heavier use.

**Pricing & Plans:** Freemium. A free plan is available with MCP server and REST API included on every plan; paid tiers are shown on the site (Pro at $29/month and Team at $59/month at the time of review). Annual pricing and enterprise arrangements require contacting the vendor.

- **Element-pinned annotations:** Comment on any element of any page — prototype, staging, localhost or production — so every thread is attached to the exact element it refers to.
- **MCP server and REST API on every plan:** Claude, Claude Code, Cursor, OpenAI Codex, Grok, Windsurf, Lovable and Bolt can list threads, apply fixes and reply with the commit that closed them.
- **Automatic feedback classification:** Comments are classified as they are typed — bug, feedback, idea, design inspiration or page copy — and can be sorted or bulk-managed by type.
- **Client and stakeholder review links:** Publish Claude artifacts or design surfaces to a hosted link; external reviewers join free and their comments land back in your workspace.
- **Rich context on every thread:** Threads carry the pinned component, file path and line number, branch and commit, so developers and agents work in the right place.

**Strengths:** Feedback is anchored to the actual element, so there is no ambiguity about what is being discussed; MCP server and REST API included on every plan, including free; Automatic classification and filtering keeps bug, copy and idea threads separate; Clients and stakeholders can join as free reviewers, keeping costs predictable

**Limitations:** Another tool to introduce into an existing Slack/Teams workflow; Value depends on your team or agent actually reading the threads; Agent integrations need some setup knowledge (MCP configuration, repo access)

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

## Frequently Asked Questions

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

Open WebUI has 804,534 monthly visits, while Skyelight has 0. 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%; Skyelight has 0%.

### 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. Skyelight: Freemium, Contact for Pricing. Freemium. A free plan is available with MCP server and REST API included on every plan; paid tiers are shown on the site (Pro at $29/month and Team at $59/month at the time of review). Annual pricing and enterprise arrangements require contacting the vendor.

## 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 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |
| 7 | [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) |
| 8 | [Jam](https://openaitools.app/tool/jamgpt) | 570,598 | -6% | Freemium, Paid | Screen recorder that captures bugs with full technical context | [.md](https://openaitools.app/tool/jamgpt.md) |
| 9 | [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) |
| 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-skeylight

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