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Apache Superset is a Data Visualization and Data Exploration Platform

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Kamil Gabryjelski 4fd993c4e0 refactor: Replace react-bootstrap tabs with Antd tabs (#11090 ) * Replace tabs in profile * Replace tabs in SouthPane * Replace tabs in TabbedSqlEditors * Add typing for dropdown * Add license * Remove isSelected * Fixes * Add data-test * Fix test * Remove unnecessary style * Remove unnecessary style * Tests fix * Tests fix * Update superset-frontend/src/common/components/Dropdown.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Update superset-frontend/src/common/components/Dropdown.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Update superset-frontend/src/common/components/Dropdown.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Update superset-frontend/src/common/components/Dropdown.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Update superset-frontend/src/common/components/Tabs.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Update superset-frontend/src/common/components/Dropdown.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Update superset-frontend/src/common/components/Dropdown.tsx Co-authored-by: Evan Rusackas <evan@preset.io> * Remove inModal prop * Remove inModal from storybook * Move inline style to styled component Co-authored-by: Evan Rusackas <evan@preset.io>		2020-10-02 13:07:52 -07:00
.github	docs: add security vulnerability GH issue template (#11023 )	2020-09-23 11:13:13 -07:00
docker	Reorganize steps (#11015 )	2020-09-28 10:51:50 -07:00
docs	docs: docs site footer link tweak (#11140 )	2020-10-01 23:31:52 -07:00
helm/superset	chore: pre-commit run --all-files (#10500 )	2020-08-02 14:32:17 -07:00
RELEASING	docs(new docs site): removes old sphinx doc site with gatsby (#10784 )	2020-09-11 22:59:12 -07:00
requirements	chore: bump pandas to latest stable version (#11018 )	2020-09-24 13:11:10 +03:00
scripts	docs: add changelog entries for 0.37.2 (#11086 )	2020-09-28 11:14:09 +03:00
superset	fix: Alembic migration 18532d70ab98 (#11136 )	2020-10-02 09:12:03 +01:00
superset-frontend	refactor: Replace react-bootstrap tabs with Antd tabs (#11090 )	2020-10-02 13:07:52 -07:00
tests	feat: custom favorite filter for dashboards, charts and saved queries (#11083 )	2020-10-01 15:08:40 -07:00
.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
.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	docs: add gallery screenshot & link in README (#10988 )	2020-09-21 22:48:55 -07:00
.pylintrc	Removed disable global pytlint rule `standarderror-builtin` which isn't appearing for Python3 (#11038 )	2020-09-24 13:48:02 -07:00
.rat-excludes	docs: redirect http -> https (#10900 )	2020-09-16 08:24:08 -07:00
CHANGELOG.md	docs: add changelog entries for 0.37.2 (#11086 )	2020-09-28 11:14:09 +03:00
CODE_OF_CONDUCT.md	docs(readme): move Slack guidelines to CODE_OF_CONDUCT (#10315 )	2020-07-15 15:21:20 -07:00
CONTRIBUTING.md	chore: update port that cypress runs on for local vs test (#10847 )	2020-09-16 12:31:03 -07:00
DISCLAIMER	chore: pre-commit run --all-files (#10500 )	2020-08-02 14:32:17 -07:00
docker-compose.yml	fix: re-installing local superset in cache image (#10766 )	2020-09-02 13:01:36 -07:00
Dockerfile	update all python version in the Dockerfile to 3.7 (#10841 )	2020-09-11 14:33:15 +03:00
Dockerfile-dev	fix: re-installing local superset in cache image (#10766 )	2020-09-02 13:01:36 -07:00
INSTALL.md	Improvements related to ASF release process (#7539 )	2019-07-03 22:33:14 -07:00
INTHEWILD.md	docs: Add Zeta to list of companies using Apache Superset (#11059 )	2020-09-28 19:28:00 -07:00
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	Add release refinements from 0.35.2 release (#8925 )	2020-02-18 07:14:31 +02:00
package-lock.json	fixed routes for customer in docs (#11052 )	2020-09-24 20:43:03 -07:00
pytest.ini	feat: support nulls in the csv uploads (#10208 )	2020-07-06 13:26:43 -07:00
README.md	docs: comply to ASF requirements (#11133 )	2020-10-01 22:15:36 -07:00
setup.cfg	docs(new docs site): removes old sphinx doc site with gatsby (#10784 )	2020-09-11 22:59:12 -07:00
setup.py	chore: bump pandas to latest stable version (#11018 )	2020-09-24 13:11:10 +03:00
tox.ini	fix(jest): using UTC mock date (#11079 )	2020-09-26 14:53:41 -07:00
UPDATING.md	docs: add changelog entries for 0.37.1 (#10893 )	2020-09-16 12:29:03 +03:00

README.md

Superset

A modern, enterprise-ready business intelligence web application.

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

Ask and answer questions on StackOverflow
Join our community's Slack and please read our Slack Community Guidelines
Join our dev@superset.apache.org Mailing list

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.