How to deploy a Streamlit app in 2026 (beyond Community Cloud)

Streamlit in 2026: Python scripts that became apps

Streamlit turns a Python script into a web app — sliders, charts, file uploads, chat interfaces — without any frontend code. It's how analysts ship dashboards, how ML tinkerers demo models, and increasingly how people with AI assistants build data tools: ask ChatGPT or Cursor for “a Python app that visualizes my sales data,” and the answer usually arrives as a Streamlit script.

Which creates the familiar gap: streamlit run app.py works on your machine, and now you want a URL that doesn't depend on your laptop staying open. Four paths, ranked by effort.

Before deploying anywhere: the 3-item checklist

Most failed Streamlit deploys trace back to one of these, regardless of platform:

• requirements.txt exists and is complete. Every import in your script needs its package listed — streamlit, pandas, plotly, all of it. If an AI wrote your app, ask it to generate this file; missing requirements are the #1 deploy failure.

• Secrets are out of the code. API keys and database URLs belong in environment variables or Streamlit's secrets mechanism, never pasted in the script — especially if the repo is public.

• The code is on GitHub (for most platforms) — or in a folder you can ZIP.

Option 1: Streamlit Community Cloud — free, with real limits

Cost: free. Effort: 10 minutes.

Streamlit's own hosting connects to your GitHub account: pick the repo, the branch, and the file, click Deploy, and the app builds on a streamlit.app URL. For sharing a dashboard with colleagues or a demo with a community, it's the right default — free and built by the people who make the framework.

The limits you'll eventually meet:

• ~1 GB of memory — a real pandas workload or a model in memory hits this fast, and over-limit apps get shut down

• Sleep after 12 quiet hours — the next visitor finds a “waking up” page instead of your app

• 3 apps per account, public by default (private apps are limited)

• No custom domains — you live on yourapp.streamlit.app

For hobby use, none of this matters. For anything client-facing — a tool with your name on it, a dashboard a customer checks daily — the sleep page and the subdomain are usually what push people to option 2.

Option 2: livemy.app — always-on, your domain, flat rate

Cost: free tier; Maker $20/month flat. Effort: 10–15 minutes.

livemy.app hosts Streamlit apps the way it hosts any AI-built project — auto-detect does the configuration:

• 1. Connect the GitHub repo (or upload the project as a ZIP — no GitHub required, unlike Community Cloud).

• 2. Auto-detect identifies the Streamlit app from your requirements.txt and entry file, and sets the run command — no Dockerfile, no port configuration.

• 3. Paste your secrets as environment variables in the dashboard — your script reads them as usual.

• 4. Go live. The app gets a permanent URL; connect your own domain and SSL issues automatically — the custom domain guide covers the DNS step.

What changes vs Community Cloud: always-on (no sleep page on Maker), your domain instead of a streamlit.app subdomain, no 1 GB ceiling or 3-app cap tied to a free pool, and monitoring included. The bill is flat — $20/month, no resource metering — which matters for data apps precisely because memory spikes are normal behavior, not anomalies. Free tier apps sleep after 60 minutes — still useful for staging.

→ Start free on livemy.app · No credit card · Streamlit auto-detected from the repo.

Option 3: Railway or Render — when the app grew an architecture

Cost: Railway from $5/month usage-based; Render from $7/month per service. Effort: 30–60 minutes.

If your Streamlit app is the visible part of something bigger — a Postgres database, a scheduled job refreshing data, a separate API — a multi-service platform earns its configuration overhead. Both deploy Streamlit from a GitHub repo; you'll set the start command yourself (streamlit run app.py --server.port $PORT --server.address 0.0.0.0) and wire services together. Choosing between them: Render vs Railway.

Option 4: Docker on a VPS — full control

Cost: $5–20/month for the server. Effort: hours, plus ongoing maintenance.

A Streamlit Dockerfile is short — Python base image, install requirements, expose the port, run the command — and a small VPS runs several apps behind a reverse proxy. You own updates, SSL, backups, and 3am restarts. Worth it if you're already maintaining a server for other things; not worth becoming a sysadmin for one dashboard.

Looking for a Streamlit alternative instead?

Sometimes the deployment search is really a framework search. The honest map:

• Gradio — better for ML model demos: chat interfaces, image in/out, audio. Hugging Face Spaces hosts Gradio apps free, the standard for sharing models.

• Dash (Plotly) — better for complex, enterprise-grade dashboards with fine-grained layout control. Steeper learning curve, more code per feature.

• Stay with Streamlit — for general data apps built fast by non-frontend people, it remains the best effort-to-result ratio in Python. Most “Streamlit alternative” searches end with better hosting, not a rewrite.

FAQ

How do I deploy a Streamlit app for free?

Streamlit Community Cloud — connect GitHub, pick the repo, click Deploy. Free for 3 public apps with ~1 GB memory that sleep after 12 quiet hours. livemy.app's free tier is the alternative when you can't use GitHub or need a path to a custom domain later.

Why does my Streamlit app keep going to sleep?

Community Cloud hibernates apps after 12 hours without traffic; visitors then see a wake-up page while it restarts. The fix is hosting without sleep policies — livemy.app Maker, Railway, Render, or your own server.

How do I get a custom domain on a Streamlit app?

Community Cloud doesn't support them — you'll need to host elsewhere. On livemy.app: deploy the app, add your domain in the dashboard, update one DNS record, and SSL issues automatically.

My Streamlit app exceeds Community Cloud's memory limit — what now?

First trim the app: cache data loading with @st.cache_data, avoid loading full datasets into memory. If it's still over 1 GB, move to hosting without the shared-pool ceiling — flat-rate livemy.app or a sized service on Render/Railway.

Can I deploy a Streamlit app without GitHub?

Not on Community Cloud — GitHub is required. On livemy.app you can upload the project folder as a ZIP directly; on a VPS you copy files however you like.

Read next

• How to deploy a Python Flask or FastAPI app in 2026

• How to connect a custom domain to your AI-built app in 2026

• Heroku alternatives in 2026: 6 platforms that replaced it

• Render vs Railway vs livemy.app: which to pick in 2026