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Apache Superset

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This is an old revision of this page, as edited by VulcanSphere (talk | contribs) at 02:09, 29 April 2022 (Adding local short description: "Open-source data visualisation software", overriding Wikidata description "Apache Superset is a modern, enterprise-ready business intelligence web application" (Shortdesc helper)). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Superset
Original author(s)Maxime Beauchemin / Airbnb
Stable release
1.4.2 / 19 March 2022; 3 years ago (2022-03-19)
RepositorySuperset Repository on Github
Written inPython, TypeScript
Operating systemCross-platform
Typedata visualization, business intelligence
LicenseApache License 2.0
Websitesuperset.apache.org

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.[1] In addition to Airbnb, the project has seen significant contributions from other leading technology companies, including Lyft and Dropbox.[2] Superset graduated from the incubator program and became a top-level project at the Apache Software Foundation in 2021.[3]

Features

  • Dashboard creation
  • Enterprise authentication (OpenID, LDAP, OAuth...)
  • Integration with Apache ECharts
  • Lightweight semantic layer
  • Visualization plugin support
  • Compatible with most SQL-speaking datasources

Managed Providers

Maxime Beauchemin's company, Preset, offers Superset as a managed service (SaaS).[4]

Linked Articles

References

  1. ^ "The history and anatomy of Apache Superset" (PDF). Archived (PDF) from the original on 2019-07-24.
  2. ^ "Apache Superset (Incubating)". Archived from the original on 2020-07-05.
  3. ^ Foundation, The Apache Software (2021-01-21). "The Apache Software Foundation Announces Apache® Superset™ as a Top-Level Project". GlobeNewswire News Room. Retrieved 2021-02-26.
  4. ^ "Product". preset.io. Retrieved 2021-02-26.