Deploy a Streamlit app
Share a Streamlit dashboard with coworkers without spending time building login, server, and data connection infrastructure around it. Tokay keeps the app running, gives it an HTTPS URL, and can restrict access to the people who should see it.
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Start with the dashboard you already built
You do not need to build a separate server setup around a working Streamlit dashboard. Push a private repository or paste the files, and Tokay detects Streamlit, the start command, environment variables, and data connections used by the code.
The app runs as a long running Service, including the WebSocket connection used for interactive sessions.
Coworkers get access without a login project
Tokay can protect the dashboard at the Project boundary, so company data does not require custom authentication inside Streamlit. Set the audience to your company email domain or chosen coworkers, and visitors enter through a magic link. Their access appears in the Project log.
The data work stays beside the dashboard
You do not need separate infrastructure for the database and refresh pipeline. When the code expects Postgres, MySQL, MongoDB, or Redis, Tokay creates the resource and supplies the connection through the environment variable the app already reads. External warehouse credentials stay encrypted as Project secrets.
A nightly refresh runs as a scheduled Service in the same Project, sharing the dashboard's database and secrets. Tokay records each run and sends email when it fails.
Your AI agent can return a private work app
A coding agent like Claude Code or Codex can carry a generated dashboard through deployment and access setup instead of handing you the hosting work. Through Tokay's GraphQL API, it can submit the files, set the write only data credentials you provide, deploy the app, restrict the audience, and verify the live URL.
Point your agent to app.tokay.io/llms.txt for the deployment protocol.
Tokay has a very generous free tier with no credit card. Get started.