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Apache Superset is a Data Visualization and Data Exploration Platform
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Ville Brofeldt f6ce40d246
chore: upgrade node to most recent 16.x (#25362) 		2023-09-26 04:00:41 -07:00
.github feat(docker): Use docker buildx and Add ARM builds for dockerize and websocket (#25377) 2023-09-25 13:08:21 -07:00
RELEASING chore: deprecate FLASK_ENV and improve conf.ENVIRONMENT_TAG_CONFIG (#24404) 2023-06-29 12:04:32 -07:00
RESOURCES docs: add ReadyTech to INTHEWILD.md (#25324) 2023-09-18 14:27:01 -04:00
docker chore(async): Making create app configurable (#25346) 2023-09-20 10:04:58 -07:00
docs docs: jwks_uri addition to OAUTH provider (#24928) 2023-09-19 12:07:48 -04:00
helm/superset fix: update helm chart app version (#25361) 2023-09-21 20:11:51 -07:00
requirements chore: bump gunicorn to v21 (#25313) 2023-09-15 13:14:00 -07:00
scripts chore(pre-commit): Add pyupgrade and pycln hooks (#24197) 2023-06-01 12:01:10 -07:00
superset feat: Adds Sunburst chart migration logic (#25343) 2023-09-22 09:44:40 -03:00
superset-embedded-sdk fix(embedded sdk): Remove trailing slash from passed superset domain if there is one (#25020) 2023-08-25 09:24:58 -07:00
superset-frontend chore: upgrade node to most recent 16.x (#25362) 2023-09-26 04:00:41 -07:00
superset-websocket build(deps-dev): bump @types/uuid from 9.0.3 to 9.0.4 in /superset-websocket (#25311) 2023-09-15 09:54:11 -07:00
tests fix: datetime with timezone excel export (#25318) 2023-09-21 13:11:59 -07:00
.asf.yaml feat: bump to Python3.9 (#23890) 2023-05-10 20:21:56 +03:00
.codecov.yml refactor(monorepo): change coverage of core to 100% (#17698) 2021-12-14 16:19:55 +08:00
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.flaskenv chore: deprecate FLASK_ENV and improve conf.ENVIRONMENT_TAG_CONFIG (#24404) 2023-06-29 12:04:32 -07:00
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docker-compose.yml chore(async): Making create app configurable (#25346) 2023-09-20 10:04:58 -07:00
dockerize.Dockerfile feat(docker): Use docker buildx and Add ARM builds for dockerize and websocket (#25377) 2023-09-25 13:08:21 -07:00
lintconf.yaml feat(helm): Support for flower and websocket containers (#21806) 2022-10-27 13:03:21 -07:00
pytest.ini feat: support nulls in the csv uploads (#10208) 2020-07-06 13:26:43 -07:00
setup.cfg fix: Bumps Flask Caching to fix RCE vulnerability (#25090) 2023-08-31 08:44:48 -03:00
setup.py chore: bump gunicorn to v21 (#25313) 2023-09-15 13:14:00 -07:00
superset_text.yml chore(build): creating default superset_text.yaml placeholder file (#24250) 2023-06-04 22:37:33 -06:00
tox.ini fix: Revert tox basepython (#24124) 2023-05-19 06:40:38 -07:00

README.md

Superset

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

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

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

https://user-images.githubusercontent.com/64562059/234390129-321d4f35-cb4b-45e8-89d9-20ae292f34fc.mp4


Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) 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 databricks druid firebolt timescale rockset postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza pinot teradata yugabyte starrocks

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

Superset 2.0!

Understanding the Superset Points of View