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Apache Superset is a Data Visualization and Data Exploration Platform
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Robert H Stolz 0e514c184c
docs: Added release notes and associated media for 0.38 (#12022) 
* Added release notes and associated media for 0.38

* Added ASF license header to release notes

* refactored the release notes directory structure. Re-added media to the 0.38 release notes.

* fixed broken image and hyperlink

* fixed broken image and hyperlink pt 2

* Swapped out media embed tags

Swapped out github style markdown embed tags with html style ones for more control.

* Fixing small inconsistencies

Fixed a couple small inconsistencies in the feature tags

* Resize media, update embed style

Seems like GitHub does not any but the most basic css in the embed tag.

* Spelling nit

* Fixed some formatting nits

Added a box around the images to clearly distinguish them from the whitespace. Images are now embedded on the same indentation tier as their associated bullet point.

* Rebase to hopefully fix cypres problems

* May the cypress gods be pleased with this commit.
 		2021-01-06 13:03:54 -08:00
.github chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
RELEASING docs: Added release notes and associated media for 0.38 (#12022) 2021-01-06 13:03:54 -08:00
docker feat: Added setup for running Cypress tests in docker locally (#11207) 2020-12-14 08:06:19 -08:00
docs chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
helm/superset feat: rename TABLE_NAMES_CACHE_CONFIG to DATA_CACHE_CONFIG (#11509) 2020-11-13 22:35:10 -08:00
requirements feat(explore): time picker enhancement (#11418) 2020-12-17 18:27:21 -08:00
scripts chore: add latest tag action (#11148) 2020-12-17 20:50:44 +02:00
superset fix(explore): refine previous calendar range (#12308) 2021-01-06 10:09:13 -08:00
superset-frontend build(deps): bump ini from 1.3.5 to 1.3.8 in /superset-frontend (#12021) 2021-01-06 12:22:30 -08:00
tests fix(explore): refine previous calendar range (#12308) 2021-01-06 10:09:13 -08:00
.asf.yaml chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
.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 chore: add latest tag action (#11148) 2020-12-17 20:50:44 +02:00
.pre-commit-config.yaml style(menu): clean up right menu - leaving only "Settings" (#11227) 2020-10-20 21:33:28 -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 chore: pin node and npm versions (#11646) 2020-11-10 15:58:54 -08:00
CHANGELOG.md chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
CODE_OF_CONDUCT.md chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
CONTRIBUTING.md chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
Dockerfile feat: add Postgres SQL validator (#11538) 2020-12-04 19:17:23 -08:00
INSTALL.md chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
INTHEWILD.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 chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
README.md docs: Added release notes and associated media for 0.38 (#12022) 2021-01-06 13:03:54 -08:00
UPDATING.md chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
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 chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
setup.py chore: remove harmless incubator refs (#12289) 2021-01-06 13:45:19 +02:00
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 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