# Open WebUI vs Qase

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. Qase records 319,213 monthly visits with -25.5% growth and Freemium, Free Trial, Contact for Pricing, Free pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [Qase](https://openaitools.app/tool/qase) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://qase.io |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Testing, AI Agent, AI Productivity Tools, AI Developer Tools |
| Pricing Model | Freemium | Freemium, Free Trial, Contact for Pricing, Free |
| Monthly Visits | 804,534 | 319,213 |
| MoM Growth Rate | -2.8% | -25.5% |
| Primary Market | United States | South Korea |
| Direct Visits | 299,835 | 246,413 |
| Review Score | 4.4 | 4.5 |
| 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)

## Qase

Qase is built around a simple premise: development velocity has outrun QA, and the gap shows up as bulging manual test backlogs and scattered results. The platform pulls CI pipeline output, automated test runs, and manual test execution into one system of record, so a single dashboard answers whether a release is actually safe to ship.

The headline AI capability is practical rather than cosmetic. Qase takes existing manual test cases and converts them into runnable automation scripts for frameworks such as Playwright, Cypress, and Selenium, which means the backlog of untested scenarios can shrink instead of compounding every sprint. Alongside that, requirement traceability links what was asked for to what was actually verified, and release readiness views surface pass rates, coverage gaps, blockers, and flaky tests.

Qase connects deeply with the rest of the toolchain — more than 35 integrations spanning Jira, GitHub, Slack, CI/CD pipelines, and test frameworks from Pytest to PHPUnit. More recently the team added Model Context Protocol support so AI agents can work directly with test data, and launched Tiden, a separate product that extends verification beyond the test phase to agent-written code across the development lifecycle. A free tier and trial make it easy to evaluate before committing.

**Pricing & Plans:** Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

- **Unified system of record:** Manual test cases, automated test runs, and CI pipeline results consolidate into one dashboard so there are no blind spots about coverage or pass rates.
- **Qase AI automations:** Paste a manual test case, choose a framework, and Qase generates an automation script for Playwright, Cypress, or Selenium, shrinking the manual backlog instead of growing it.
- **Requirements traceability:** Bidirectional links connect every requirement to its test cases and results, so when something breaks you can trace exactly what was verified.
- **Release readiness reports:** Pass rates, coverage gaps, blockers, and flaky-test history come together in shareable readiness views for confident go/no-go decisions.
- **35+ integrations and MCP:** Bidirectional connectors for Jira, GitHub, Slack, CI/CD pipelines, and major test frameworks, plus Model Context Protocol access for AI agents.

**Strengths:** One unified view of manual, automated, and CI test results; AI conversion of manual cases into Playwright, Cypress, or Selenium scripts; Strong requirement-to-result traceability and readiness reporting; 35+ bidirectional integrations with Jira, GitHub, Slack, and CI/CD tools

**Limitations:** Feature depth means a real ramp-up period for small teams; Advanced enterprise capabilities sit behind sales-negotiated pricing; The new AI conversion and agentic features are still maturing

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

## Frequently Asked Questions

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

Open WebUI has 804,534 monthly visits, while Qase has 319,213. 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%; Qase has -25.5%.

### 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. Qase: Freemium, Free Trial, Contact for Pricing, Free. Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

## 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 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Offers an advanced AI-native QA agent for plain-language test authoring, but is less traditional test management-focused. | [.md](https://openaitools.app/tool/kaneai.md) |
| 6 | [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) |
| 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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)