Apache Superset is a Data Visualization and Data Exploration Platform
Go to file
garnservo 296f3e81a7 Update README.md (#8206)
Corrected typos
2019-09-10 11:11:42 -07:00
.github Update bug_report.md (#7583) 2019-05-31 13:47:30 -07:00
RELEASING chore: update UPDATING.md with a 0.34.0 section (#8208) 2019-09-10 10:36:07 -07:00
contrib/docker Update README.md (#8206) 2019-09-10 11:11:42 -07:00
docs chore: deprecate restricted metrics (#8197) 2019-09-09 17:20:32 -07:00
install/helm/superset fix: don't remove leading new line (#6800) 2019-02-01 12:03:34 -08:00
scripts Setup FOSSA as part of CI (#7999) 2019-08-07 21:08:10 -07:00
superset [viz] Adding get_def typing (#8034) 2019-09-10 09:55:17 -07:00
tests more detailed async error messages (#8164) 2019-09-09 09:09:15 -07:00
.codecov.yml Adding codecov targets and thresholds (#7433) 2019-06-03 15:26:42 -07:00
.dockerignore Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
.flaskenv Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
.fossa.yml Setup FOSSA as part of CI (#7999) 2019-08-07 21:08:10 -07:00
.gitignore Fix to Werkzeug ProxyFix; expose ProxyFix configuration items (#8117) 2019-09-04 10:21:13 -07:00
.pre-commit-config.yaml bump a set of test-related JS libs (#8051) 2019-08-20 15:32:50 -07:00
.pylintrc [format] Using Black (#7769) 2019-06-25 13:34:48 -07:00
.rat-excludes chore: add bot config files and update issue templates (#7249) 2019-04-09 22:45:58 -07:00
.travis.yml Setup FOSSA as part of CI (#7999) 2019-08-07 21:08:10 -07:00
CHANGELOG.md ignore formatting for <Select> (#8187) 2019-09-08 10:16:07 -07:00
CODE_OF_CONDUCT.md Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
CONTRIBUTING.md Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
DISCLAIMER Add disclaimer and remove counter (#6738) 2019-01-22 14:18:16 -08:00
INSTALL.md Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
LICENSE.txt Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
MANIFEST.in Adding explicit include for version_info.json (#8148) 2019-08-30 15:43:30 -07:00
NOTICE Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
README.md Added WPSemantix to list of companies using Apache Superset in README.md file (#8045) 2019-08-14 17:28:03 +03:00
UPDATING.md chore: update UPDATING.md with a 0.34.0 section (#8208) 2019-09-10 10:36:07 -07:00
alembic.ini Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
babel-node [adhoc-filters] Adding adhoc-filters to all viz types (#5206) 2018-06-18 15:43:18 -07:00
cypress.json Split cypress tests (#6241) 2018-11-15 12:26:33 -08:00
gen_changelog.sh Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
pypi_push.sh Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
requirements-dev.txt 7620: Start removing dependencies on requests (#7643) 2019-08-02 10:01:28 -07:00
requirements.txt Bump flask-appbuilder to 2.1.13 (#8174) 2019-09-08 09:58:59 -07:00
setup.cfg Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
setup.py Bump FAB to 2.1.13 (#8176) 2019-09-08 22:06:24 -07:00
tox.ini Setup FOSSA as part of CI (#7999) 2019-08-07 21:08:10 -07:00

README.md

Superset

Build Status PyPI version Coverage Status PyPI Join the chat at https://gitter.im/airbnb/superset Documentation dependencies Status

Superset

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

[this project used to be named Caravel, and Panoramix in the past]

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


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

Resources

Contributing

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. Brilliant.org
  12. Capital Service S.A.
  13. Clark.de
  14. Cloudsmith
  15. CnOvit
  16. Dial Once
  17. Digit Game Studios
  18. Douban
  19. Endress+Hauser
  20. FBK - ICT center
  21. Faasos
  22. Fordeal
  23. GFG - Global Fashion Group
  24. GfK Data Lab
  25. Grassroot
  26. Hostnfly
  27. HuiShouBao
  28. Intercom
  29. jampp
  30. Konfío
  31. Kuaishou
  32. Lime
  33. Living Goods
  34. Lyft
  35. Maieutical Labs
  36. Myra Labs
  37. Now
  38. PeopleDoc
  39. Ona
  40. Pronto Tools
  41. QPID Health
  42. Qunar
  43. Scoot
  44. ScopeAI
  45. Shopee
  46. Shopkick
  47. source{d}
  48. Steamroot
  49. Showmax
  50. Tails.com
  51. Tenable
  52. THE ICONIC
  53. Tobii
  54. Tooploox
  55. TrustMedis
  56. Twitter
  57. Udemy
  58. VIPKID
  59. WeSure
  60. Windsor.ai
  61. WP-Semantix
  62. Yahoo!
  63. Zaihang
  64. Zalando
  65. Zalora