# Open WebUI vs Teaming

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. Teaming records 944 monthly visits with +926.1% growth and Free Trial, Paid pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [Teaming](https://openaitools.app/tool/teaming) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://www.teaming.com |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Review Generator, AI Coaching, AI Meeting Assistant, AI Report Generator |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 804,534 | 944 |
| MoM Growth Rate | -2.8% | +926.1% |
| Primary Market | United States | Brazil |
| Direct Visits | 299,835 | 358 |
| Review Score | 4.4 | 4.1 |
| 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)

## Teaming

Opre, which grew out of the performance-management platform originally launched as Teaming, replaces episodic annual reviews with continuous, automated insight into how a team actually works. It attends your 1:1s and team meetings, summarizes what was discussed, detects tasks and topics, and gradually builds profiles of each person's working style so managers can lead with context instead of guesswork.

The product is built around three audiences. Managers get AI performance reviews, personalized feedback, difficult-conversation guides and suggested 1:1 topics. Direct reports get private task lists, goal tracking and visibility into their own working style. HR teams get aggregated team-health analytics, performance metrics and mentoring workflows that scale across the organization.

Opre is a commercial SaaS product from Meetingful, Inc. with a published per-employee plan of $25 per employee per month billed annually, which includes all features for every employee, and an entry point via a 14-day free trial. Custom per-manager and company-level pricing is available for larger organizations that need consolidated invoicing and analytics.

**Pricing & Plans:** Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

- **AI-generated performance reviews:** Generate complete, objective performance reviews and forecasts in a single click, based on your team's actual work and communication rather than last-minute recollection.
- **Meeting intelligence:** Opre listens to 1:1s and team meetings to produce note summaries, key points organized by topic, suggested agendas and automatically detected tasks.
- **Working styles and DiSC:** Personal work-style and leadership profiles built on the DiSC assessment, plus team strength and blind-spot analysis.
- **Team health and OKRs:** Anonymous team surveys across seven dimensions of team health, plus a team task manager and goals/OKR tracking with automated performance highlight reels.
- **Privacy and security:** Full privacy controls keep 1:1 conversations private, audio and video files are not stored, and meetings can be marked internal or external.

**Strengths:** Turns real meeting and work data into reviews, so performance feedback isn't guesswork; Covers managers, employees and HR in one platform rather than disconnected tools; Strong privacy stance — 1:1 conversations private, no stored audio or video; Free 14-day trial makes evaluation low-risk

**Limitations:** Priced per employee per month, which adds up for larger teams; Requires connecting meetings and communications before insights become useful; Annual billing required on the published per-employee plan; Some advanced analytics and HR features are gated behind custom company pricing

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

## Frequently Asked Questions

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

Open WebUI has 804,534 monthly visits, while Teaming has 944. 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%; Teaming has +926.1%.

### 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. Teaming: Free Trial, Paid. Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

## 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 | [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) |
| 8 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | The AI super app for work — tasks, projects, calendar and meetings in one place | [.md](https://openaitools.app/tool/usemotion-com.md) |
| 9 | [Yoodli AI Speech Coach](https://openaitools.app/tool/yoodli-ai-speech-coach) | 347,673 | -8.2% | Freemium, Paid, Contact for Pricing | AI roleplays and coaching that build measurable communication skills | [.md](https://openaitools.app/tool/yoodli-ai-speech-coach.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-teaming

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