Apache Superset is a data exploration platform designed to be visual, intuitive and interactive.

[this project used to be named Caravel and Panoramix]

Code Quality Rank: L2
Programming language: Python
Latest version: v0.35.2

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Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

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Apache Superset

Apache Superset is a data exploration and visualization web application.

Superset provides:

  • An intuitive interface to explore and visualize datasets, and create interactive dashboards.
  • A wide array of beautiful visualizations to showcase your data.
  • Easy, code-free, user flows to drill down and slice and dice the data underlying exposed dashboards. The dashboards and charts acts as a starting point for deeper analysis.
  • A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set.
  • An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
  • A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics
  • Out of the box support for most SQL-speaking databases
  • Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
  • Fast loading dashboards with configurable caching

Database Support

Superset speaks many SQL dialects through SQLAlchemy, a Python ORM that is compatible with most common databases.

A list of currently supported SQL databases can be found here.

Apache Druid (Incubating)!

On top of having the ability to query your relational databases, Superset ships with deep integration with Druid (a real time distributed column-store). When querying Druid, Superset can query humongous amounts of data on top of real time dataset. Note that Superset does not require Druid in any way to function, it's simply another database backend that it can query.

Here's a description of Druid from the http://druid.io website:

Druid is an open-source analytics data store designed for business intelligence (OLAP) queries on event data. Druid provides low latency (real-time) data ingestion, flexible data exploration, and fast data aggregation. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is best used to power analytic dashboards and applications.

Installation & Configuration

See in the documentation



Interested in contributing? Casual hacking? Check out Contributing.MD

Who uses Apache Superset (incubating)?

Here's a list of organizations who have taken the time to send a PR to let the world know they are using Superset. Join our growing community!

  1. 6play
  2. AiHello
  3. Airbnb
  4. Airboxlab
  5. Aktia Bank plc
  6. American Express
  7. Amino
  8. Apollo GraphQL
  9. Ascendica Development
  10. Astronomer
  11. bilibili
  12. Brilliant.org
  13. Capital Service S.A.
  14. Clark.de
  15. Cloudsmith
  16. CnOvit
  17. Deepomatic
  18. Dial Once
  19. Digit Game Studios
  20. Douban
  21. Dragonpass
  22. Endress+Hauser
  23. Faasos
  24. Fanatics
  25. FBK - ICT center
  26. Fordeal
  27. GFG - Global Fashion Group
  28. GfK Data Lab
  29. Grassroot
  30. Hostnfly
  31. HuiShouBao
  32. Intercom
  33. jampp
  34. komoot
  35. Konfío
  36. Kuaishou
  37. Lime
  38. Living Goods
  39. Lyft
  40. Maieutical Labs
  41. Myra Labs
  42. Now
  43. Ona
  44. Peak AI
  45. PeopleDoc
  46. Popoko VM Games Studio
  47. Preset, Inc.
  48. Pronto Tools
  49. QPID Health
  50. Qunar
  51. Reward Gateway
  52. Safaricom
  53. Scoot
  54. ScopeAI
  55. Shopee
  56. Shopkick
  57. Showmax
  58. source{d}
  59. Steamroot
  60. Tails.com
  61. Tenable
  63. timbr.ai
  65. Tobii
  66. Tooploox
  67. TrustMedis
  68. Twitter
  69. Udemy
  70. VIPKID
  71. WeSure
  72. Windsor.ai
  73. Yahoo!
  74. Zaihang
  75. Zalando
  76. Zalora

*Note that all licence references and agreements mentioned in the Apache Superset README section above are relevant to that project's source code only.