Grafana vs Your Spotify
| Tagline | Observability and analytics dashboards for metrics, logs, and time series | Record your Spotify listening history and explore personal statistics via a web app |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI, Datadog | Tableau, Looker, Power BI |
| GitHub stars | 74k | 4.5k |
| Language | TypeScript | Nodejs |
| License | AGPL-3.0 | MIT |
| 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 | 20 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.
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
Your Spotify
- Limited to Spotify data only; no support for other music services
- Requires setting up a Spotify developer app and OAuth credentials
- No custom alerting, reports, or data export features
- MongoDB dependency adds operational overhead compared to simpler dashboards
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.
Your Spotify
Record your Spotify listening history and explore personal statistics via a web app