Apache Superset vs Homarr
| Tagline | Enterprise-ready BI web app for data exploration and dashboards | Sleek, modern homelab dashboard with rich integrations and drag-and-drop web config |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Looker, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 75k | 4.7k |
| Language | TypeScript | Docker |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Docker Compose Kubernetes Manual | Docker Docker Compose |
| Managed hosting | ||
| Last updated | yesterday | 2 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.
Apache Superset
- No native desktop authoring app like Tableau Desktop; all work happens in the browser
- Visualization customization is less polished and flexible than Tableau's drag-and-drop canvas
- No built-in semantic/modeling layer comparable to Looker's LookML (relies on external tools)
- Steeper learning curve and heavier infrastructure (Celery, Redis, metadata DB) for production
Homarr
- No BI-style data visualization, SQL queries, or chart-building features
- v1.x migration from v0.x requires manual data migration steps
- Integration library narrower than proprietary enterprise dashboards
- No alerting or on-call notification system built in
Bottom line
Both are a similar lift to self-host; choose Apache Superset for the larger community and ecosystem. Apache Superset has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Homarr
Sleek, modern homelab dashboard with rich integrations and drag-and-drop web config