Grafana vs ryot
| Tagline | Observability and analytics dashboards for metrics, logs, and time series | Track your media, fitness, and life facets in one self-hosted application |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI, Datadog | Tableau, Looker, Power BI |
| GitHub stars | 74k | 3.4k |
| Language | TypeScript | Docker |
| License | AGPL-3.0 | GPL-3.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | One-Click Docker Docker Compose Kubernetes Manual | Docker Docker Compose |
| Managed hosting | ||
| Last updated | today | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Grafana
- Oriented toward time-series and observability, not ad-hoc business analytics or pivot-style exploration
- No business-friendly visual query builder; dashboards assume knowledge of data sources and query languages
- Weak at relational/tabular BI reporting compared to Tableau or Power BI
- No semantic modeling layer; data modeling lives in the underlying sources
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 Grafana if you want the lower-effort setup; choose Grafana for the larger community and ecosystem. Grafana has seen more recent development. Open each guide below for deploy steps and the full feature gap.