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Apache Superset is a Data Visualization and Data Exploration Platform
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David Aaron Suddjian a45a5e1060
chore(cypress): Make the e2e tests more behavior-driven (#13784) 
* chore(cypress): make the load dashboard test behavior driven

* remove bootstrap usage from controls test, + new utils

* fix save test to not use bootstrap dat

* remove bootstrap usage from the filter test

* fix race condition

* remove bootstrap from url params test

* fix lint

* remove unused const

* add chart specs for the tab test

* attempt removing bootstrap data from tabs tests

* fix cypress async/sync confusion

* remove redundant assertions

* attempt fixing tab test

* attempt fixing tabs test

* cleanup commented code

* better aliases so you can tell what they are in the logs

* remove unused imports

* get the line chart alias before clicking the tab

* simplify getChartGridComponent

* wait for all the charts before force refresh

* fix tabs test

* one more time with the tabs test

* another edit to tabs test

* fix flaky test

Co-authored-by: Phillip Kelley-Dotson <pkelleydotson@yahoo.com>
 		2021-03-26 09:20:13 -07:00
.github chore(CI): dont run Hive tests on Py 3.7 (#13757) 2021-03-25 23:03:58 -07:00
RELEASING docs: added release notes for 1.1 (#13777) 2021-03-24 10:13:47 -07:00
RESOURCES docs: add file for users to see status of feature flags (#13402) 2021-03-16 14:11:17 -07:00
docker build: Ephemeral environments for PRs via slash command (#13189) 2021-02-24 10:50:52 -08:00
docs docs: update setup instructions (#13781) 2021-03-25 15:32:15 -07:00
helm/superset Add extraSecrets config to allow specifying extra secret files (#13728) 2021-03-26 08:04:21 -07:00
requirements Bump pyyaml to latest (#13658) 2021-03-17 14:41:02 -07:00
scripts fix: restart superset container in test script (#13780) 2021-03-25 15:31:50 -07:00
superset feat(rls): enable row level security by default (#13772) 2021-03-26 17:40:41 +02:00
superset-frontend chore(cypress): Make the e2e tests more behavior-driven (#13784) 2021-03-26 09:20:13 -07:00
tests feat(rls): enable row level security by default (#13772) 2021-03-26 17:40:41 +02:00
.asf.yaml fix(build): black failing on master, add to required checks (#13039) 2021-02-09 12:44:29 -08:00
.codecov.yml build: implement codecov carryforward flags (#13677) 2021-03-22 14:21:30 -07:00
.dockerignore build: add more files to .dockerignore (#13113) 2021-02-15 00:04:52 -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
.gitignore fix: explore replace wrong standalone slice url (#12359) 2021-01-09 13:32:06 -08:00
.gitmodules fix(CI): properly configure cancel duplicates (#12625) 2021-01-29 12:29:46 -08:00
.pre-commit-config.yaml style(menu): clean up right menu - leaving only "Settings" (#11227) 2020-10-20 21:33:28 -07:00
.pylintrc refactor: migrate table chart to new API (#10270) 2021-01-29 13:12:09 +02:00
.rat-excludes chore: pin node and npm versions (#11646) 2020-11-10 15:58:54 -08:00
CHANGELOG.md chore: script for changelog (#13588) 2021-03-17 08:55:46 -07:00
CODE_OF_CONDUCT.md chore: updated Slack URL, old link expired (#12737) 2021-01-25 11:50:19 -05:00
CONTRIBUTING.md chore: Update docs for 1.1 (#13732) 2021-03-24 19:23:56 -07:00
Dockerfile Fix: Add SASL dependency module (#13608) 2021-03-16 15:42:53 -07:00
INSTALL.md chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
LICENSE.txt chore: pre-commit run --all-files (#10500) 2020-08-02 14:32:17 -07:00
MANIFEST.in Update MANIFEST.in (#9261) 2020-03-25 22:00:41 -07:00
NOTICE docs: remove (some) references to incubating/incubation (#12284) 2021-01-06 13:40:40 -08:00
README.md docs: add file for users to see status of feature flags (#13402) 2021-03-16 14:11:17 -07:00
UPDATING.md feat(rls): enable row level security by default (#13772) 2021-03-26 17:40:41 +02:00
docker-compose-non-dev.yml chore: add non-dev docker-compose workflow (#13143) 2021-02-18 09:55:15 -08:00
docker-compose.yml Use redis:latest in docker-compose workflow (#13323) 2021-02-25 00:36:19 -08:00
pytest.ini feat: support nulls in the csv uploads (#10208) 2020-07-06 13:26:43 -07:00
setup.cfg fix(async queries): Remove "force" param on cached data retrieval (#12103) 2021-01-27 10:16:57 -08:00
setup.py feat: add Databricks DB engine spec (#13682) 2021-03-18 09:19:15 +00:00
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 | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

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 for visualizing datasets and crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
  • Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

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

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

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