Apache ECharts vs Redash
| Tagline | Powerful, declarative charting library for embedding interactive visualizations | Connect, query, visualize, and share data from any SQL or NoSQL source |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 67k | 29k |
| Language | TypeScript | Python |
| License | Apache-2.0 | BSD-2-Clause |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | Manual Docker | Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 3 days ago | 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 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
Redash
- SQL-centric: limited value for non-technical users versus Tableau/Power BI drag-and-drop
- Visualization variety and interactivity are basic compared to leading commercial BI
- No semantic modeling layer and limited governance/RBAC features
- Development pace slowed for a period after the Databricks acquisition; community-driven releases
Bottom line
Choose Apache ECharts if you want the lower-effort setup; choose Apache ECharts for the larger community and ecosystem. Redash 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