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Apache Superset is an open-source software application for data exploration and data visualization able to handle data at petabyte scale (big data). The application started as a hack-a-thon project by Maxime Beauchemin (creator of Apache Airflow) while working at Airbnb and entered the Apache Incubator program in 2017. In addition to Airbnb, the project…
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Explore the main themes, entities and connections around Apache Superset. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Apache Superset | License | Apache License 2.0 | 1.00 | infobox |
| Apache Superset | Operating system | Cross-platform | 1.00 | infobox |
| Apache Superset | Original author | Maxime Beauchemin / Airbnb | 1.00 | infobox |
| Apache Superset | Repository | Superset Repository on Github | 1.00 | infobox |
| Apache Superset | Stable release | 6.1.0 / 13 May 2026; 3 months ago (2026-05-13) | 1.00 | infobox |
| Apache Superset | Type | data visualization, business intelligence | 1.00 | infobox |
| Apache Superset | Website | superset.apache.org | 1.00 | infobox |
| Apache Superset | Written in | Python, TypeScript | 1.00 | infobox |
| Apache Superset | is a | open-source software application for data exploration and data visualization able to handle data at petabyte scale | 0.90 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.