Self-hosted · R and Python
Fast dashboards. Calm operations.¶
ShinyHub deploys and operates interactive R and Python applications with built-in authentication, scaling, hibernation, and observability—without turning your platform into another cloud console.
From source to a dependable URL¶
- Validate locally
Run the production-shaped app route on your workstation and let doctor find bundle, runtime, and access problems before deployment.
- Preview the change
shinyhub plan shows the exact archive, manifest effects, permissions, and lifecycle changes without mutating the server.
- Deploy with progress
Follow dependency preparation, replica readiness, routing, and recovery through one stable CLI workflow.
- Operate by outcome
Keep viewer sessions responsive with hibernation, render pacing, worker isolation, metrics, and tracing.
shinyhub connect https://hub.example.com --name prod
shinyhub doctor ./my-app
shinyhub plan ./my-app
shinyhub deploy ./my-app --open
Start small, keep the path forward¶
Use the same Go binary for a local evaluation, a single Docker host, or a PostgreSQL-backed multi-node deployment. Runtime tiers let one control plane place applications locally, on remote Docker workers, or on AWS Fargate.
Built for everyone in the delivery chain¶
Developers get a direct deployment workflow. Operators get explicit state, bounded resources, and recovery paths. Viewers get the part that matters: a dashboard that opens quickly and stays dependable.
See a real ShinyHub instance¶
The public demo runs curated applications on an isolated app origin. Explore them anonymously, or sign in with GitHub for a read-only view of the actual control plane.