RunningHub 每月有 3,105,554 次造訪，月增率 -28.5%，定價模式為免費增值。SuperAnnotate 每月有 386,034 次造訪，成長率 +37.4%，定價模式為免費試用、需聯絡報價。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | runninghub.ai | superannotate.com |
| 定價模式 | 免費增值 | 免費試用、需聯絡報價 |
| 每月造訪次數 | 310.56萬 (3,105,554) | 38.6萬 (386,034) |
| 月流量變化量 | -123.77萬 (-28.5%) | +10.5萬 (+37.4%) |
| 主要市場與市佔 | 🇨🇳 中國 (52.7%) | 🇺🇸 美國 (31%) |
| 每月直接造訪 | 229.72萬 | 24.83萬 |
| 使用者評分 | 4.4 | 4.6 |
| 支援平台 | 網站 | 網站 |
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app APIs.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
專項更強面向電影級影片與圖像的 AI 原生創作套件
一站式 AI 影片、圖像與代理式內容創作工作室
專項更強在瀏覽器中免費生成 AI 圖像與影片，並託管模型
專項更強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 backed by in-house systems research.
專項更強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 backed by in-house systems research.
專項更強Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility.
專項更強Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
專項更強Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
