Dashy vs Glance
| Tagline | Feature-rich homelab homepage with easy YAML configuration and a polished UI | Highly customizable dashboard that puts all your feeds in one place |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Looker, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 25k | 35k |
| Language | Nodejs | Docker |
| License | MIT | AGPL-3.0 |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | Docker Docker Compose Manual | Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 2 days ago | 19 days ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Dashy
- No analytical data visualization, BI queries, or database connectivity
- Multi-user support is basic; no proper RBAC or team workspaces
- Service auto-discovery requires manual YAML entries; no Docker auto-detection like Homepage
- Not suitable for business reporting or data-driven dashboards
Glance
- No built-in database or persistent data store; purely a read/aggregation layer
- No multi-user support or access control
- No data source connectors for business databases or warehouses (unlike Tableau/Power BI)
- No interactive charts, pivot tables, or drill-down analytics
Bottom line
Both are a similar lift to self-host; choose Glance for the larger community and ecosystem. Dashy has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Dashy
Feature-rich homelab homepage with easy YAML configuration and a polished UI