Apache Superset is a Data Visualization and Data Exploration Platform
Go to file
Maxime Beauchemin 5c7a50c104
Improvements related to ASF release process (#7539)
* [WiP] Improvements related to ASF release process

* Removing translation binaries (.mo)
* Working on 2 docker files to help package and validate releases
  * Dockerfile.from_tarball: takes a VERSION as input, downloads
    official source release fro svn and bakes it into a functional
    docker image that can be validated
  * Dockerfile.make_tarball: helps a maintainer to package and sign a
    release candidate or release

* Address COPYRIGHT + LICENSE issues

(cherry picked from commit 5ae2836b25)

* Add Roboto font to LICENSE, remove glyphicons files

(cherry picked from commit 9615f39f7a556afe217b4e3288c9116f8ffaab91)

* remove unused LICENSE entries

* Change babytux to open image in birth dashboard

(cherry picked from commit 2776d11893596a029b8af37b96fd6ce1a9f12059)

* Improve instructions

* Docker tweaks

(cherry picked from commit df6e6462458ea8cff1482c142921b20f5607ad8e)

* Include image
2019-07-03 22:33:14 -07:00
.github Update bug_report.md (#7583) 2019-05-31 13:47:30 -07:00
RELEASING Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
contrib/docker [docker] Fix docker-init missing FLASK_APP (#7709) 2019-06-14 09:02:11 -07:00
docs Improve documentation (#7813) 2019-07-03 19:54:03 +03:00
install/helm/superset fix: don't remove leading new line (#6800) 2019-02-01 12:03:34 -08:00
licenses Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
scripts Scripts & instructions to craft official Apache source releases (#7054) 2019-03-25 16:21:26 -07:00
superset Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
tests [schema] Deprecating the table_columns.database_expression column (#7653) 2019-07-03 14:05:59 -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
.gitignore Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
.pre-commit-config.yaml [format] Using Black (#7769) 2019-06-25 13:34:48 -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 [travis] Adding Black tox environment (#7809) 2019-07-01 18:05:15 -07:00
CHANGELOG.md Update CHANGELOG.md (#6920) 2019-02-20 22:16:18 -08:00
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 Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
NOTICE Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
README.md add new user (#7801) 2019-07-01 10:53:36 -07:00
UPDATING.md Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -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 [format] Using Black (#7769) 2019-06-25 13:34:48 -07:00
requirements.txt Bump FAB to 2.1.5 (#7750) 2019-06-21 19:43:10 +03:00
setup.cfg Add licenses to translations (#6732) 2019-01-22 08:21:13 -08:00
setup.py [format] Using Black (#7769) 2019-06-25 13:34:48 -07:00
tox.ini [format] Using Black (#7769) 2019-06-25 13:34:48 -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. GfK Data Lab
  24. Grassroot
  25. Hostnfly
  26. HuiShouBao
  27. Intercom
  28. jampp
  29. Konfío
  30. Kuaishou
  31. Lime
  32. Living Goods
  33. Lyft
  34. Maieutical Labs
  35. Myra Labs
  36. Now
  37. PeopleDoc
  38. Ona
  39. Pronto Tools
  40. QPID Health
  41. Qunar
  42. Scoot
  43. ScopeAI
  44. Shopee
  45. Shopkick
  46. Steamroot
  47. Showmax
  48. Tails.com
  49. Tenable
  50. THEICONIC
  51. Tobii
  52. Tooploox
  53. TrustMedis
  54. Twitter
  55. Udemy
  56. VIPKID
  57. WeSure
  58. Windsor.ai
  59. Yahoo!
  60. Zaihang
  61. Zalando