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

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Superset

Build Status PyPI version Coverage Status PyPI Get on Slack Documentation dependencies Status

Superset

A modern, enterprise-ready business intelligence web application.

Why Superset | Database Support | Installation and Configuration | Get Help | Contributor Guide | Resources | Superset Users | License |

Screenshots & Gifs

View Dashboards


Slice & dice your data


Query and visualize your data with SQL Lab


Visualize geospatial data with deck.gl


Choose from a wide array of visualizations


Why Superset

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 act 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 SQL toolkit that is compatible with most databases. A list of supported databases can be found here.

Installation and Configuration

See in the documentation

Get Help

Contributor Guide

Interested in contributing? Check out Contributing.MD to learn how to contribute and best practices.

Resources

Superset Users

Here's a list of organizations that have taken the time to send a PR to let the world know they are using Superset. If you are a user and want to be recognized, all you have to do is file a simple PR like this one. Join our growing community!

  1. 6play [@CoryChaplin]
  2. AiHello [@ganeshkrishnan1]
  3. Airbnb
  4. Airboxlab [@antoine-galataud]
  5. Aktia Bank plc [@villebro]
  6. American Express [@TheLastSultan]
  7. Amino [@shkr]
  8. Apollo GraphQL [@evans]
  9. Ascendica Development [@davidhassan]
  10. Astronomer [@ryw]
  11. bilibili [@Moinheart]
  12. Brilliant.org
  13. Capital Service S.A. [@pkonarzewski]
  14. Clark.de
  15. Cloudsmith [@alancarson]
  16. CnOvit [@xieshaohu]
  17. Deepomatic [@Zanoellia]
  18. Dial Once
  19. Digit Game Studios
  20. Douban [@luchuan]
  21. Dragonpass [@zhxjdwh]
  22. Dremio [@narendrans]
  23. Endress+Hauser [@rumbin]
  24. Faasos [@shashanksingh]
  25. Fanatics [@coderfender]
  26. FBK - ICT center
  27. Fordeal [@Renkai]
  28. GFG - Global Fashion Group [@ksaagariconic]
  29. GfK Data Lab [@mherr]
  30. Grassroot
  31. Hostnfly [@alexisrosuel]
  32. HuiShouBao [@Yukinoshita-Yukino]
  33. Intercom [@kate-gallo]
  34. jampp
  35. komoot [@christophlingg]
  36. Konfío [@uis-rodriguez]
  37. Kuaishou [@zhaoyu89730105]
  38. Let's Roam
  39. Lime [@cxmcc]
  40. Living Goods [@chelule]
  41. Lyft
  42. Maieutical Labs [@xrmx]
  43. Myra Labs [@viksit]
  44. Now [@davidkohcw]
  45. Ona [@pld]
  46. Peak AI [@azhar22k]
  47. PeopleDoc [@rodo]
  48. Popoko VM Games Studio
  49. Preset, Inc.
  50. Pronto Tools [@zkan]
  51. PubNub [@jzucker2]
  52. QPID Health
  53. Qunar [@flametest]
  54. Rakuten Viki
  55. Reward Gateway
  56. Safaricom [@mmutiso]
  57. Scoot [@haaspt]
  58. ScopeAI [@iloveluce]
  59. Shopee [@xiaohanyu]
  60. Shopkick [@LAlbertalli]
  61. Showmax [@bobek]
  62. source{d} [@marnovo]
  63. Steamroot
  64. Tails.com [@alanmcruickshank]
  65. Tenable [@dflionis]
  66. THE ICONIC [@ksaagariconic]
  67. timbr.ai [@semantiDan]
  68. TME QQMUSIC/WESING
  69. Tobii [@dwa]
  70. Tooploox [@jakubczaplicki]
  71. TrustMedis [@famasya]
  72. Twitter
  73. Udemy [@sungjuly]
  74. VIPKID [@illpanda]
  75. WeSure
  76. Whale
  77. Windsor.ai [@octaviancorlade]
  78. Yahoo!
  79. Zaihang
  80. Zalando [@dmigo]
  81. Zalora [@ksaagariconic]

License

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

  http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.

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