# Open WebUI vs SciFig

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. SciFig records 91,473 monthly visits with +4.7% growth and Freemium pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [SciFig](https://openaitools.app/tool/scifig) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://scifig.ai |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Image Generator, AI Background Remover, AI Image Enhancer, AI Image Upscaler |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 804,534 | 91,473 |
| MoM Growth Rate | -2.8% | +4.7% |
| Primary Market | United States | United States |
| Direct Visits | 299,835 | 23,551 |
| 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)

## SciFig

SciFig is built around the observation that most papers need more than one kind of figure, and that juggling several unrelated tools for illustrations, plots and diagrams wastes time. Its Illustration workspace accepts six input modes: a written description, a rough sketch, a lab photo, a PDF of an existing paper, a reference figure to imitate in style, and photo-to-figure conversion. From any of these it produces scientific images of mechanisms, pathways, cross-sections and graphical abstracts, drawing on hundreds of templates across multiple disciplines.

The DataChart workspace is the quantitative side. Upload a CSV or Excel file, describe the chart you want, and SciFig plots it in journal-consistent styles with colorblind-safe palettes. The chart library is deliberately deep and organized by research need — basic and trend charts, distribution and statistics plots such as violin, box and raincloud charts, relationship and model plots like regression and Bland–Altman, biomedical staples including volcano plots and Kaplan–Meier survival curves, plus flows and structures such as heatmaps and Sankey diagrams. Charts ship with the statistics and the Python code that produced them, which matters when a reviewer asks how a figure was made.

FlowChart covers the qualitative diagrams: PRISMA and CONSORT screening flows, model architectures, cycle diagrams and research timelines, described in plain language and returned as editable diagrams rather than static images. Across all three engines the editability is the real differentiator — you can retype a label, redraw one region, switch journal style or palette, or move a box and its arrows without regenerating the whole figure. Export options include editable PPTX, layered SVG, 8K PNG/JPG, and for data charts also PDF, EPS and TIFF, so figures survive poster, manuscript and presentation formats alike.

**Pricing & Plans:** Freemium. New users start with up to 150 free credits and can reach about 250 free credits on day one when joining through an invite, with no credit card required. Paid plans and credit packs are available, and the site states paid credits never expire. Pricing changes with promotions, so check the pricing page for current plan details.

- **Three dedicated engines: Illustration, DataChart and FlowCha:** Three dedicated engines: Illustration, DataChart and FlowChart for scientific images, data plots and protocol diagrams respectively
- **Six illustration input modes: text, sketch, photo, PDF, refe:** Six illustration input modes: text, sketch, photo, PDF, reference figure and photo enhancement, backed by hundreds of discipline-specific templates
- **Data charts straight from CSV or Excel across around 50 char:** Data charts straight from CSV or Excel across around 50 chart types, including volcano plots, survival curves, forest plots and heatmaps
- **Fully editable output: change any label, recolor, redraw a r:** Fully editable output: change any label, recolor, redraw a region or shift a box and its arrows without regenerating the figure
- **Researcher-friendly export: layered SVG, editable PPTX, 8K P:** Researcher-friendly export: layered SVG, editable PPTX, 8K PNG/JPG, plus PDF, EPS and TIFF for charts, with journal styles and colorblind-safe palettes

**Strengths:** Purpose-built for research figures rather than generic AI image generation, with journal styles and colorblind-safe palettes; Strong editability after generation, so a figure can be refined instead of regenerated from scratch; Data charts are plotted from your actual numbers and come with the statistics and Python code; Wide export coverage including layered SVG, editable PPTX and print-grade TIFF/EPS

**Limitations:** Scientific accuracy still depends on your input: descriptions and extracted text must be checked before publication; Credit-based pricing means heavy figure production can consume the allowance quickly; The enormous tool and template catalog can feel overwhelming for a first-time user

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

## Frequently Asked Questions

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

Open WebUI has 804,534 monthly visits, while SciFig has 91,473. 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%; SciFig has +4.7%.

### 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. SciFig: Freemium. Freemium. New users start with up to 150 free credits and can reach about 250 free credits on day one when joining through an invite, with no credit card required. Paid plans and credit packs are available, and the site states paid credits never expire. Pricing changes with promotions, so check the pricing page for current plan details.

## 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 | [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) |
| 9 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Delivers a desktop-native application for running local models offline easily, but lacks Open WebUI's server-centric multi-user features. | [.md](https://openaitools.app/tool/jan.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |

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

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