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apache / superset / refs/tags/v2021.3.3
commit489d341688177793939bbe58e8aad148ea649c68[log] [tgz]
authorRob DiCiuccio <rob.diciuccio@gmail.com>Thu Jan 21 09:51:53 2021 -0800
committerHenry Yeh <henry@preset.io>Thu Jan 21 10:08:23 2021 -0800
tree473b69b6c591beca3f9d2ed7ad5d4b90ae1e0daa
parent6e8d360525a4112f1a71d55b3a3effc73737c794 [diff]
fix: Stabilize and deprecate legacy alerts module (#12627)

* Add deprecation notice to superset.tasks.schedules

* Reduce retries and schedule window for alerts

(cherry picked from commit e4ae17def5a3c86e6ed2cf011452a5cd83b43ecd)
1 file changed
tree: 473b69b6c591beca3f9d2ed7ad5d4b90ae1e0daa
  1. .github/
  2. docker/
  3. docs/
  4. helm/
  5. RELEASING/
  6. requirements/
  7. scripts/
  8. superset/
  9. superset-frontend/
  10. tests/
  11. .asf.yaml
  12. .codecov.yml
  13. .dockerignore
  14. .editorconfig
  15. .flaskenv
  16. .fossa.yml
  17. .gitignore
  18. .pre-commit-config.yaml
  19. .pylintrc
  20. .rat-excludes
  21. CHANGELOG.md
  22. CODE_OF_CONDUCT.md
  23. CONTRIBUTING.md
  24. docker-compose.yml
  25. Dockerfile
  26. INSTALL.md
  27. INTHEWILD.md
  28. LICENSE.txt
  29. MANIFEST.in
  30. NOTICE
  31. pytest.ini
  32. README.md
  33. setup.cfg
  34. setup.py
  35. tox.ini
  36. UPDATING.md
README.md

Superset

License GitHub release (latest SemVer) Build Status PyPI version Coverage Status PyPI Get on Slack Documentation Dependencies Status

A modern, enterprise-ready business intelligence web application.

Why Superset | Supported Databases | Installation and Configuration | Release Notes | Get Help | Contributor Guide | Resources | Superset Users

Screenshots & Gifs

Gallery


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

Supported Databases

Superset speaks many SQL dialects through SQLAlchemy - a Python SQL toolkit that is compatible with most databases. Here are some of the major database solutions that are supported:

A complete list of supported databases can be found here.

Installation and Configuration

See in the documentation

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources