The 30 Apache Superset Chart Types in 2026

Apache Superset offers more than 30 native visualization types in 2026, from the most classic (Bar, Line) to the most advanced (Sankey, Choropleth, Deck.gl). Choosing the right chart for given data is half the work of a good dashboard. This guide reviews the 30+ types available with their use cases.

1. KPI charts

Type	Use case
Big Number	One main KPI in large
Big Number with Trendline	KPI + sparkline (evolution)
Gauge Chart	Goal achievement rate
Bullet Chart	Comparison to a target and reference zones

If you want to start with these pre-configured types, TVL Managed Superset offers a template library.

2. Comparison charts

Bar Chart	Comparison by category
Stacked Bar Chart	Composition by category
Pie Chart	Share of each category (≤6 categories)
Donut	Aesthetic Pie variant with KPI in center
Treemap	Hierarchy + proportion (optimized space)
Sunburst	Multi-level circular hierarchy

3. Time charts

Line Chart	Continuous evolution
Area Chart	Evolution + cumulative composition
Bar Chart (time)	Periodic volumes
Time-series Heatmap	Seasonality (day × hour)
Calendar Heatmap	Annual distribution
Event Flow	Ordered event sequences

4. Relational charts

Sankey Diagram	Flow between categories (attribution, funnel)
Chord Diagram	Bidirectional relationships between entities
Network Graph	Complex graphs (social network, org chart)

5. Geographic charts (Deck.gl + MapBox)

Choropleth Map	Density by administrative zone
Country Map	Data per country
Map Box	Custom map with points and heatmaps
Deck.gl Scatter	Massive points (millions)
Deck.gl 3D Hexagon	3D density, spatial exploration
Deck.gl Arc	Oriented connections (origin/destination)

See also Superset geospatial visualizations.

6. Statistical charts

Histogram	Distribution of a continuous variable
Box Plot	Median, quartiles, outliers
Violin Plot	Distribution + density
Scatter Plot	Correlation between two variables
Bubble Chart	Three dimensions (x, y, size)

7. Funnel and conversion charts

Funnel Chart	Conversion between successive steps
Cohort Chart	Retention by cohort
Pivot Table	Number matrix with totals
Heatmap	Matrix with colors

This configuration is applied by default on TVL Managed Superset, which follows community best practices.

8. Specialized charts

Word Cloud	Weighted tag cloud
Word Tree	Word arborescence
Time-series Period Pivot	YoY, MoM comparison
Mixed Chart	Bar + Line combination on two axes

9. How to choose the right type?

1. What's the message? Trend → Line. Comparison → Bar. Composition → Pie/Treemap. Distribution → Histogram. Correlation → Scatter.
2. How many categories? <6 → Pie. 6-15 → Bar. >15 → Treemap or Heatmap.
3. Is there a temporal dimension? Yes → Line or Area. Season → Heatmap.
4. Geography? Country → Country Map. Specific regions → Choropleth.
5. Volume of points? >10,000 → Deck.gl for performance.

10. Common pitfalls

• Pie chart with 20 categories: unreadable, prefer Bar;
• Non-zero scale on Bar Chart: artificially exaggerates differences;
• Random colors: use a consistent, semantic palette (red = negative);
• Too many series on a Line Chart: 7+ lines become unreadable, filter;
• Choropleth without normalization by population: always see big cities, not useful info.

11. Conclusion

Mastering the 30+ visualization types of Apache Superset takes a few weeks but transforms the quality of your dashboards. For 80% of cases, 6 types suffice: Big Number, Bar, Line, Pie, Heatmap, Pivot Table. The others serve specific contexts (geo, network, advanced statistics).

Want the benefits of Apache Superset without the friction of installation and maintenance? Deploy your instance in 3 clicks with TVL Managed Superset, hosted in Europe (OVHcloud, Roubaix, France).

For more: create your first dashboard, design best practices, geospatial visualizations.