Apache ECharts vs Homarr
| Tagline | Powerful, declarative charting library for embedding interactive visualizations | Sleek, modern homelab dashboard with rich integrations and drag-and-drop web config |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 67k | 4.4k |
| Language | TypeScript | Docker |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | Manual Docker | Docker Docker Compose |
| Managed hosting | ||
| Last updated | 6 days ago | 5 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 ECharts
- Library only; no built-in query layer or data connector UI
- Requires custom development to build a full dashboard application
- No user management or saved-dashboard persistence out of the box
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
Choose Apache ECharts if you want the lower-effort setup; choose Apache ECharts for the larger community and ecosystem. Homarr has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Apache ECharts
Powerful, declarative charting library for embedding interactive visualizations
Homarr
Sleek, modern homelab dashboard with rich integrations and drag-and-drop web config