Hugging Face Spaces
FreemiumHost Streamlit and Gradio demos where the ML community already looks.
Published 27 September 2026
Scores
Popularity4/5
The default place the ML community shares working demos, benefiting from the audience already browsing the Hugging Face Hub, though it remains a niche choice outside of ML and data-science use cases.
Learning Curve2/5
Native Gradio and Streamlit SDKs need only an app file and a short YAML header to go live, with no build configuration or infrastructure to set up, though moving to a custom Docker Space adds real deployment complexity back in.
Flexibility3/5
Covers a specific set of shapes well — Gradio, Streamlit, Docker, and static — but stays scoped to demo-style apps rather than a general backend platform, so anything needing a database or long-running services has to work around that.
Performance3/5
Free CPU hardware is modest and Spaces sleep after inactivity, so cold starts are common; paid GPU tiers remove the compute ceiling, but the platform is tuned for demo traffic rather than production-scale request volume.
Portability4/5
Gradio, Streamlit, and static apps run unmodified on other hosts, and Docker Spaces are literally portable containers — the main lock-in is losing the built-in Hub audience, not the app code itself.
About Hugging Face Spaces
Hugging Face Spaces is Hugging Face's hosting platform for ML demo apps, not a general-purpose or enterprise hosting service. It's built for showcasing a working model, dataset, or tool alongside its page on the Hub, and that showcase framing shapes what it's good at: getting a demo in front of people fast, not running production infrastructure.
Spaces supports a handful of app shapes. Gradio and Streamlit are first-class SDKs — push a repo and Spaces builds and serves it directly. Docker Spaces open that up further: any containerized app can run, which is how frameworks like Panel and Dash typically get deployed there, alongside custom Python or Node services. A static Space serves plain HTML/CSS/JS or the output of a statically-exported frontend build (a Next.js app exported as static files, for example) with no server-side runtime at all.
What it isn't built for matters just as much: there's no persistent database, and free-tier Spaces sleep after a period of inactivity and take a moment to wake back up. It's the right home for a demo that needs an audience, not a backend service or a database that needs to stay up.
Key Features
- Gradio and Streamlit apps deploy directly from a Git repo
- Docker Spaces support any containerized app, including Panel and Dash
- Static Spaces host plain HTML/JS or a statically-exported frontend build
- Free CPU hardware, with paid GPU tiers for heavier models
- Built-in audience from the Hugging Face Hub
Pros
- Zero-infrastructure hosting — push a repo and get a public URL
- Built-in discovery next to the model and dataset pages people already browse
- Multiple deployment paths: native SDKs, Docker for custom stacks, or static export
- On-demand GPU hardware without owning infrastructure
Cons
- Not a general backend or database platform — no persistent storage included
- Free-tier Spaces sleep after inactivity and take time to wake back up
- Built for demos and showcases, not production-grade enterprise workloads
- Custom domains and higher limits require a paid plan
Hugging Face Spaces Pricing
Freemium- · Unlimited public Spaces
- · CPU Basic hardware: 2 vCPU / 16GB RAM / 50GB disk
- · Community GPU access via ZeroGPU (free)
- · Included with Hugging Face PRO plan ($9/month)
- · Private Spaces with access control, priority GPU/inference queue, 10x private storage
- · 8 vCPU / 32GB RAM / 50GB disk for demos that outgrow the free tier
- · Billed by the minute while the Space is running
- · $0.03/hour
- · T4, L4, L40S, A10G, and A100 GPU tiers; Nvidia H100 tier was removed in December 2025
- · Billed by the minute while running
- · From $0.40/hour (T4 small) up to $20-23.50/hour for 8x A100/L40S multi-GPU tiers
Tools Related to Hugging Face Spaces
Integrates with Hugging Face Spaces(5)
Spaces treats Gradio as a first-class SDK, since Hugging Face owns Gradio — most Spaces on the Hub are Gradio demos.
Streamlit is a first-class supported SDK on Spaces, giving Streamlit apps a second official hosting home beyond Streamlit Community Cloud.
Panel apps run on Spaces through the official Docker Space template rather than a first-class SDK, giving them the same public-URL hosting as Gradio and Streamlit.
Dash apps run on Spaces through the official Docker Space template rather than a first-class SDK, giving them the same public-URL hosting as Gradio and Streamlit.
Hugging Face Spaces are Git repositories on the Hugging Face Hub that host Gradio, Streamlit, or Docker apps next to the models and datasets they load.
Alternatives to Hugging Face Spaces(10)
Fly.io runs any Docker app globally with scale-to-zero; Hugging Face Spaces is purpose-built for ML demos with free CPU hosting. Fly.io for production services, Spaces for quick public model demos.
Firebase Hosting serves general static sites and SPAs on a CDN; Hugging Face Spaces runs Streamlit, Gradio, or static ML demos on a public URL. Firebase Hosting for web apps, Spaces for model showcases.
Vercel deploys frontend frameworks and serverless functions with preview URLs; Hugging Face Spaces hosts Python ML demos built with Streamlit or Gradio. Vercel for web frontends, Spaces for model showcases.
Cloudflare Pages hosts general static and full-stack sites on a global edge; Hugging Face Spaces hosts ML demo apps built with Streamlit or Gradio, free on CPU. Pages for production sites, Spaces for sharing model demos.
Both host a Streamlit app on a free public URL, but Spaces adds Gradio, Docker, and static support while Streamlit Cloud stays Streamlit-only with deeper Streamlit-specific tooling.
Hugging Face Spaces gives ML demos a free public URL with no setup; DigitalOcean runs general apps with more control and predictable pricing. Spaces for demos, DigitalOcean for production workloads.
