Apache Superset

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Apache Superset topic overview

The analysis highlights Art, Technology and Companies as prominent areas in the source structure around Apache Superset.

Related topics: 15
Source areas: 3
Connected nodes: 18
Extracted relationships: 9
Related term clusters: 11
Bridge connections: 18

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 8 topics

Features · 6 topics

Managed providers · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

License: Apache License 2.0
Operating system: Cross-platform
Original author: Maxime Beauchemin / Airbnb
Repository: Superset Repository on Github
Stable release: 6.1.0 / 13 May 2026; 3 months ago (2026-05-13)
Type: data visualization, business intelligence

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Apache Superset

8Open-source software · Data visualization · Big data

7Dashboard (business) · OpenID · LDAP

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Features

Managed providers

SaaS

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Apache Superset connects Entity context

The extracted context around Apache Superset shows recurring relationship patterns in the source. For example, Apache Superset → Apache License 2.0 Another extracted example is Apache Superset → Cross-platform. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

License · 1

Apache Superset → Apache License 2.0

Operating system · 1

Apache Superset → Cross-platform

Original author · 1

Apache Superset → Maxime Beauchemin / Airbnb

Repository · 1

Apache Superset → Superset Repository on Github

Stable release · 1

Apache Superset → 6.1.0 / 13 May 2026; 3 months ago (2026-05-13)

Type · 1

Apache Superset → data visualization, business intelligence

Website · 1

Apache Superset → superset.apache.org

Written in · 1

Apache Superset → Python, TypeScript

is a · 1

Apache Superset → open-source software application for data exploration and data visualization able to handle data at petabyte scale

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

apache superset airbnb project software visualization maxime application incubator program data beauchemin open-source airflow managed website lyft dropbox exploration able

Apache Superset relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Apache Superset. Examples in this analysis include Apache Superset → License → Apache License 2.0 and Apache Superset → Operating system → Cross-platform. The table shows each extracted connection, where it came from and its confidence.

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

Related concept clusters Related term clusters

The concept neighborhoods around Apache Superset bring nearby vocabulary together. In this analysis, examples include Software, Superset and Airflow. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Apache Superset
- Software
- Superset
- Airflow
- Application
- Beauchemin
- Data
- Incubator
- Maxime
- Open-source
- Program
- Visualization
- Website
apache superset
- Visualization
- Software
- Superset
- Airflow
- Application
- Beauchemin
- Data
- Incubator
- Maxime
- Open-source
- Program
- Website
apache airflow
- Software
- Superset
- Creator
- Entered
- Hack-a-thon
- Started
- Working
- Airflow
- Apache
- Application
- Beauchemin
- Data
airbnb
- Beauchemin
- Maxime
- Project
- Addition
- Apache
- Companies
- Contributions
- Creator
- Dropbox
- Entered
- Hack-a-thon
- Including
apache software foundation
- Software
- Superset
- Airflow
- Application
- Beauchemin
- Data
- Incubator
- Maxime
- Open-source
- Program
- Visualization
- Website
open-source software
- Software
- Big
- Exploration
- Handle
- Petabyte
- Scale
- Superset
- Airflow
- Application
- Became
- Data
- Graduated
big data
- Exploration
- Handle
- Petabyte
- Scale
- Visualization
- Superset
- Big
- Data
- Managed
- Open-source
- Beauchemin
- Maxime
data visualization
- Visualization
- Superset
- Big
- Exploration
- Handle
- Managed
- Petabyte
- Scale
- Beauchemin
- Maxime
- Open-source
- Website

Connections between topic areas Semantic bridges

For Apache Superset, one of the stronger structural bridges in this analysis connects Apache Superset with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Apache Superset — Overview · splits 10 ⟂ 9

Apache Superset — Features · splits 12 ⟂ 7

Map overview Semantic statistics

Apache Superset

Nodes19

Edges18

Triples9

Avg. degree1.89

Density0.105263

Components1

Source & methodology

TTTA analyzes the structure around Apache Superset to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Apache Superset · EN edition · Analysis: TopicsToTalkAbout

Apache Superset: Art, Technology & Companies

Apache Superset topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Features

Managed providers

For the semantics nerds

Advanced semantic analysis

How Apache Superset connects Entity context

Apache Superset

Top relations

Important terminology

Important terminology

Apache Superset relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Apache Superset

Source & methodology