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Apache Superset is a Data Visualization and Data Exploration Platform
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Elizabeth Thompson 895fa19d8d
chore: add latest tag action (#11148) 
* add latest tag action

* update documentation with latest tag info

* Python in docs doesn't need v3 reference

* add check that latest tag is truly a later version

* remove rc from acceptable tags

* move tag script to seperate file

* add a check that the tag exists
 		2020-12-17 20:50:44 +02:00
.github chore: add latest tag action (#11148) 2020-12-17 20:50:44 +02:00
RELEASING chore: add latest tag action (#11148) 2020-12-17 20:50:44 +02:00
docker feat: Added setup for running Cypress tests in docker locally (#11207) 2020-12-14 08:06:19 -08:00
docs chore: add latest tag action (#11148) 2020-12-17 20:50:44 +02:00
helm/superset feat: rename TABLE_NAMES_CACHE_CONFIG to DATA_CACHE_CONFIG (#11509) 2020-11-13 22:35:10 -08:00
requirements fix: Python dependencies in #11499 (#12079) 2020-12-17 11:52:21 +13:00
scripts chore: add latest tag action (#11148) 2020-12-17 20:50:44 +02:00
superset fix(reports): increase crontab size and alert fixes (#12056) 2020-12-17 18:03:05 +00:00
superset-frontend feat(databases): security perm simplification (#12036) 2020-12-17 12:37:05 +00:00
tests fix(reports): increase crontab size and alert fixes (#12056) 2020-12-17 18:03:05 +00:00
.asf.yaml docs: docs site footer link tweak (#11140) 2020-10-01 23:31:52 -07:00
.codecov.yml Adding codecov targets and thresholds (#7433) 2019-06-03 15:26:42 -07:00
.dockerignore SIP-32: Moving frontend code to the base of the repo (#9098) 2020-02-09 17:53:56 -08:00
.editorconfig Adding editorconfig setting for IDE hints (#10855) 2020-09-14 08:19:23 -07:00
.flaskenv Flask App factory PR #1 (#8418) 2019-11-20 15:47:06 +00:00
.fossa.yml Update FOSSA configuration for new requirements layout (#10848) 2020-09-16 13:28:04 -07:00
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.pre-commit-config.yaml style(menu): clean up right menu - leaving only "Settings" (#11227) 2020-10-20 21:33:28 -07:00
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CHANGELOG.md docs: 0.38.0 CHANGELOG and UPDATING (#11809) 2020-11-25 11:36:50 +00:00
CODE_OF_CONDUCT.md docs(readme): move Slack guidelines to CODE_OF_CONDUCT (#10315) 2020-07-15 15:21:20 -07:00
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INSTALL.md Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
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MANIFEST.in Update MANIFEST.in (#9261) 2020-03-25 22:00:41 -07:00
NOTICE Add release refinements from 0.35.2 release (#8925) 2020-02-18 07:14:31 +02:00
README.md docs: restored page on roles in security, executed other touchups, and… (#11978) 2020-12-13 14:06:14 -08:00
UPDATING.md feat(SIP-39): Async query support for charts (#11499) 2020-12-10 20:21:56 -08:00
docker-compose.yml feat: Added setup for running Cypress tests in docker locally (#11207) 2020-12-14 08:06:19 -08:00
pytest.ini feat: support nulls in the csv uploads (#10208) 2020-07-06 13:26:43 -07:00
setup.cfg refactor: optimize backend log payload (#11927) 2020-12-15 17:22:23 -08:00
setup.py fix: Python dependencies in #11499 (#12079) 2020-12-17 11:52:21 +13:00
tox.ini build(deps-dev): update cypress to 5.5.0, improvements for running locally (#11603) 2020-11-10 15:51:47 -08:00

README.md

Superset

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

Superset

A modern, enterprise-ready business intelligence web application.

Why Superset | Supported Databases | Installation and Configuration | 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:

redshift google-biquery snowflake presto druid postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin

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