Apache ECharts vs ryot
| Tagline | Powerful, declarative charting library for embedding interactive visualizations | Track your media, fitness, and life facets in one self-hosted application |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI | Tableau, Looker, Power BI |
| GitHub stars | 67k | 3.5k |
| Language | TypeScript | Docker |
| License | Apache-2.0 | GPL-3.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | Manual Docker | Docker Docker Compose |
| Managed hosting | ||
| Last updated | 7 days ago | 7 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
ryot
- No business analytics or arbitrary data source connectivity
- No mobile native app; relies on Progressive Web App
- Social/sharing features are limited compared to Goodreads or Letterboxd
- No collaborative or multi-household tracking support
Bottom line
Choose Apache ECharts if you want the lower-effort setup; choose Apache ECharts for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.
Apache ECharts
Powerful, declarative charting library for embedding interactive visualizations