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Apache Superset is a Data Visualization and Data Exploration Platform
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David Aaron Suddjian 7f70a241f9
test: Add jest-enzyme assertion library for better frontend tests (#10459) 
* adding jest-enzyme

* enzymeify lots of assertions

* types for jest-enzyme
 		2020-07-29 10:53:06 -07:00
.github build: enable Cypress tests for visualizations (#10206) 2020-06-30 17:10:17 -07:00
RELEASING chore: improve release documentation (#10292) 2020-07-11 19:00:02 +03:00
docker build: Add python 3.8 to the build matrix (#9827) 2020-05-17 14:49:51 -07:00
docs docs: pointers to plugins blog post (#10251) 2020-07-27 22:46:37 -07:00
helm/superset fix: Fix for updated cache dependency (#9850) 2020-05-20 09:42:43 -07:00
scripts tests: update test run doc and add some improvements (#10339) 2020-07-16 13:03:49 +01:00
superset feat(api): database schemas migration to new API (#10436) 2020-07-29 09:33:15 +01:00
superset-frontend test: Add jest-enzyme assertion library for better frontend tests (#10459) 2020-07-29 10:53:06 -07:00
tests feat(api): database schemas migration to new API (#10436) 2020-07-29 09:33:15 +01:00
.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
.flaskenv Flask App factory PR #1 (#8418) 2019-11-20 15:47:06 +00:00
.fossa.yml SIP-32: Moving frontend code to the base of the repo (#9098) 2020-02-09 17:53:56 -08:00
.gitignore feat: Add owners and physical/virtual status to Datasets API list endpoint (#10025) 2020-06-10 22:04:40 +03:00
.pre-commit-config.yaml chore: bump black to 19.10b0 and mypy to 0.770 (#9378) 2020-04-04 13:23:18 -07:00
.pylintrc chore: Upgrade pylint to 2.5.3 and fix most new rules (#10101) 2020-06-18 14:03:42 -07:00
.rat-excludes [docker] fix, Dockerfile for frontend builds (#9114) 2020-02-12 15:48:24 +00:00
CHANGELOG.md doc: Add changelog for 0.36.0 (#9570) 2020-04-17 19:55:51 +03:00
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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Dockerfile fix: issue with duplicated dependencies (#9837) 2020-05-19 08:46:52 -07:00
Dockerfile-dev fix: issue with duplicated dependencies (#9837) 2020-05-19 08:46:52 -07:00
INSTALL.md Improvements related to ASF release process (#7539) 2019-07-03 22:33:14 -07:00
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NOTICE Add release refinements from 0.35.2 release (#8925) 2020-02-18 07:14:31 +02:00
README.md docs: pointers to plugins blog post (#10251) 2020-07-27 22:46:37 -07:00
UPDATING.md fix(permissions): alpha role has all full features (#10241) 2020-07-27 10:32:30 +01:00
docker-compose.yml Removing node_modules volume in docker-compose.yml (#10236) 2020-07-03 08:00:09 -07:00
pytest.ini feat: support nulls in the csv uploads (#10208) 2020-07-06 13:26:43 -07:00
requirements-dev.txt fix(api): fixes openapi spec errors and adds a test to validate all spec (#10393) 2020-07-23 10:43:41 +01:00
requirements.txt Pin slack client, breaking change (#10345) 2020-07-20 09:20:05 -07:00
setup.cfg docs(fix): /swaggerview/v1 has moved to /swagger/v1 (#10276) 2020-07-09 15:16:52 -07:00
setup.py Pin slack client, breaking change (#10345) 2020-07-20 09:20:05 -07:00
tox.ini feat: Switch from nosetest to pytest (#10177) 2020-06-29 15:36:06 -07:00

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 | Database Support | Installation and Configuration | Get Help | Contributor Guide | Resources | Superset Users

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


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

Database Support

Superset speaks many SQL dialects through SQLAlchemy - a Python SQL toolkit that is compatible with most databases. A 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