Apache ECharts vs Lightdash
| Tagline | Powerful, declarative charting library for embedding interactive visualizations | BI layer on top of your dbt project with a built-in semantic layer |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI | Looker, Tableau, Power BI |
| GitHub stars | 67k | 6k |
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | Manual Docker | Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 4 days ago | 3 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
Lightdash
- Requires a dbt project; not usable as a standalone BI tool without dbt modeling
- Smaller chart/visualization library than Tableau or Power BI
- Some governance, embedding, and enterprise features are reserved for the paid cloud tiers
- Younger ecosystem with fewer connectors and a smaller community than the incumbents
Bottom line
Choose Apache ECharts if you want the lower-effort setup; choose Apache ECharts for the larger community and ecosystem. Lightdash 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