Apache ECharts vs Homer
| Tagline | Powerful, declarative charting library for embedding interactive visualizations | Dead simple static homepage to expose your server services via YAML config |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 67k | 12k |
| Language | TypeScript | Docker |
| License | Apache-2.0 | Apache-2.0 |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | Manual Docker | Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 7 days ago | 8 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
Homer
- Extremely minimal: no service widgets, no data pulled from APIs beyond ping checks
- No built-in authentication or user management
- No analytics, charts, or data visualization features
- Configuration is file-only with no web UI editor
Bottom line
Both are a similar lift to self-host; choose Apache ECharts for the larger community and ecosystem. Apache ECharts 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