# Lunit vs RunningHub Lunit records 29,181 monthly visits with -12.8% month-over-month growth and Contact for Pricing pricing. RunningHub records 3,105,554 monthly visits with -28.5% growth and Freemium pricing. | Metric | [Lunit](https://openaitools.app/tool/lunit) | [RunningHub](https://openaitools.app/tool/runninghub) | | :--- | :--- | :--- | | Website URL | https://www.lunit.io/en | https://www.runninghub.ai | | Categories | AI Healthcare, AI Medical Diagnosis, AI Image Recognition | AI App Builder, AI Workflow, AI Image Generator, AI Developer Tools | | Pricing Model | Contact for Pricing | Freemium | | Monthly Visits | 29,181 | 3,105,554 | | MoM Growth Rate | -12.8% | -28.5% | | Primary Market | South Korea | China | | Direct Visits | 8,314 | 2,297,199 | | Review Score | 4.6 | 4.4 | | Saved Count | 1 | 2 | | Supported Platforms | Website | Website | ## Lunit Lunit is a medical AI company headquartered in Seoul, South Korea, spun out of deep-learning research and focused squarely on oncology. Rather than chasing general-purpose healthcare AI, it has built two connected product families: one that helps clinicians find cancer earlier in imaging, and one that extracts quantitative biology from tissue to guide treatment and drug development. Its technology is used across a large international footprint spanning more than 10,000 customer sites in over 70 countries, with hundreds of peer-reviewed publications and industry partnerships behind the deployments. On the screening side, the Lunit INSIGHT family analyzes mammograms and chest radiographs. Lunit INSIGHT MMG handles 2D mammography while Lunit INSIGHT DBT covers 3D breast tomosynthesis, both designed to flag suspicious regions so radiologists can prioritize the studies that need attention most. Lunit INSIGHT CXR does the same for chest X-rays. Around these detection engines Lunit has assembled program-level tooling: density assessment, risk assessment and risk pathways, live mammography reporting, quality management, analytics, and a patient hub, so a screening service can run AI as part of its routine rather than as an isolated experiment. On the precision oncology side, the Lunit SCOPE portfolio analyzes pathology images. Lunit SCOPE IO quantifies the tumor microenvironment and immune cell infiltration, which matters for immunotherapy strategy, while the Lunit SCOPE IHC Suite supports immunohistochemistry quantification across markers such as HER2 and PD-L1, alongside a genotype prediction tool. These products are aimed at biopharma partners, clinical trial teams, and companion diagnostic development, where reproducible quantitative readouts are the bottleneck. Because Lunit sells to hospitals, screening programs, and pharmaceutical companies, pricing is quoted directly rather than published, and regulatory status differs by market. **Pricing & Plans:** Contact for pricing. Lunit sells enterprise software and platform licenses to hospitals, screening programs, and biopharma partners, so commercial terms and deployment costs are quoted directly through its sales team. No public price list is offered. - **Lunit INSIGHT MMG and DBT:** Deep-learning analysis of 2D and 3D mammography that marks suspicious lesions to help radiologists detect breast cancer earlier and reduce missed findings. - **Lunit INSIGHT CXR:** Chest X-ray analysis that highlights potential abnormalities such as nodules and other findings, supporting faster triage in high-volume radiology workflows. - **Lunit SCOPE IO:** Tumor microenvironment analysis that quantifies tumor-infiltrating lymphocytes and immune phenotypes from pathology slides, informing immunotherapy research. - **Lunit SCOPE IHC Suite:** AI-assisted immunohistochemistry quantification covering HER2, PD-L1, and other markers, including uIHC and a gene-expression prediction tool for standardized scoring. - **Screening analytics and workflow tools:** Live mammography reporting, risk assessment, risk pathways, quality management, and patient-facing tools that embed AI into the wider screening program. **Strengths:** Clinically validated radiology AI with documented regulatory clearances and published evidence; Covers two ends of the cancer pathway — screening detection and precision oncology biomarkers — in one vendor relationship; Wide real-world adoption across many countries, which means integrations and workflow lessons already exist; Strong research output and biopharma partnerships support credibility for trial and CDx work [Profile (Markdown)](https://openaitools.app/tool/lunit.md) ## RunningHub RunningHub is an all-in-one AI content creation platform built around cloud ComfyUI. Instead of installing Stable Diffusion, Flux, ControlNet, and LoRA setup on your own GPU, you run workflows on RunningHub's servers and interact through a browser. The platform supports importing and running ComfyUI graphs, then turning them into polished single-click "AI Apps" that non-technical users can operate with simple prompts. Beyond the workflow engine, RunningHub bundles a broad creative toolkit: text-to-image and text-to-video generation, image-to-image and image-to-video conversion, inpainting, outpainting, and upscaling powered by self-developed models. An infinite canvas and rapid-creation templates help users assemble campaigns, product visuals, and short videos. The homepage also showcases a community gallery of featured workflows, model APIs, and viral video templates. RunningHub follows a freemium, credit-based model with free daily usage and subscription tiers for heavier production. It targets creators, small studios, and developers, and offers workflow, model, LLM, and app APIs so teams can embed generational capabilities into their own products. **Pricing & Plans:** Freemium with daily free credits and pay-as-you-go credits; subscription tiers unlock higher concurrency, member discounts, and advanced models. API usage is priced separately. - **Cloud ComfyUI:** Run, import, and share ComfyUI workflows in the cloud without local GPU hardware. - **AI Apps Builder:** Publish a workflow as a single-click AI app that anyone can run with simple inputs. - **Image & Video Generation:** Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard. - **Developer APIs:** Integrate generation into your product via workflow, model, LLM, and app APIs. - **Template Library & Community:** Explore a gallery of community workflows, viral video templates, and creator rewards. **Limitations:** Complex workflows have a learning curve; Credit-based costs add up for heavy video generation; Best experience assumes some ComfyUI familiarity [Profile (Markdown)](https://openaitools.app/tool/runninghub.md) ## Frequently Asked Questions ### How do Lunit and RunningHub compare in monthly traffic? Lunit has 29,181 monthly visits, while RunningHub has 3,105,554. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Lunit has a month-over-month growth rate of -12.8%; RunningHub has -28.5%. ### How does pricing compare? Lunit: Contact for Pricing. Contact for pricing. Lunit sells enterprise software and platform licenses to hospitals, screening programs, and biopharma partners, so commercial terms and deployment costs are quoted directly through its sales team. No public price list is offered. RunningHub: Freemium. Freemium with daily free credits and pay-as-you-go credits; subscription tiers unlock higher concurrency, member discounts, and advanced models. API usage is priced separately. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Adobe Firefly](https://openaitools.app/tool/adobe) | 396,998,213 | -8.6% | Freemium | Commercially safe generative AI workspace for images, video, audio, vectors, and multi-model creative production. | [.md](https://openaitools.app/tool/adobe.md) | | 2 | [Higgsfield](https://openaitools.app/tool/higgsfield) | 47,127,865 | +16.2% | Freemium, Free Trial | AI-native creative suite for cinematic video and images | [.md](https://openaitools.app/tool/higgsfield.md) | | 3 | [Runway](https://openaitools.app/tool/runwayml) | 7,498,396 | +16.9% | Freemium, Paid, Contact for Pricing | Generative video, image, and audio tools built on frontier AI research | [.md](https://openaitools.app/tool/runwayml.md) | | 4 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Discover, download and generate with open-source AI models for image, video and 3D. | [.md](https://openaitools.app/tool/civitai.md) | | 5 | [Pollo AI](https://openaitools.app/tool/pollo-ai) | 6,641,636 | -9.6% | Freemium | All-in-one AI studio for video, image, and agent-driven content creation | [.md](https://openaitools.app/tool/pollo-ai.md) | | 6 | [Krea](https://openaitools.app/tool/krea) | 4,583,022 | +2.9% | Freemium | Realtime generative AI studio for images, video and custom models | [.md](https://openaitools.app/tool/krea.md) | | 7 | [ComfyUI](https://openaitools.app/tool/comfyui) | 4,379,348 | +13.4% | Contact for Pricing, Free | Node-based visual AI studio for images, video, 3D and audio | [.md](https://openaitools.app/tool/comfyui.md) | | 8 | [Tensor.Art](https://openaitools.app/tool/tensor-art) | 2,618,069 | +9.4% | Free | Free online AI image generation, video creation and model hosting in your browser | [.md](https://openaitools.app/tool/tensor-art.md) | | 9 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) | | 10 | [ScanSkinAI](https://openaitools.app/tool/scanskinai) | 265,770 | -10.9% | Freemium, Paid | Free AI skin and mole scanning with optional dermatologist review | [.md](https://openaitools.app/tool/scanskinai.md) | --- Source: https://openaitools.app/compare/lunit-vs-runninghub More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)