Apache Superset is a Data Visualization and Data Exploration Platform
Go to file
EugeneTorap a35764839b
chore: Comment 3.8 PY required CI checks (#24002)
2023-05-10 16:35:26 +03:00
.github chore: add codeQL to CI (#23949) 2023-05-05 19:39:57 +01:00
RELEASING chore: update releasing process for testing (#23331) 2023-03-17 17:39:37 -07:00
RESOURCES docs(feature flags): remove the conflicting entry for DRILL_BY (#23994) 2023-05-09 12:35:41 -06:00
docker chore: Bump redis to 4.5.4 (#23845) 2023-04-28 10:46:56 +02:00
docs chore: Bump python libs (#23986) 2023-05-10 13:19:25 +03:00
helm/superset chore(helm): Split service templates into separate files (#23923) 2023-05-08 09:15:37 -07:00
requirements chore: Bump python libs (#23986) 2023-05-10 13:19:25 +03:00
scripts feat(lang): update messages.po(t) and add missing German translations (#23402) 2023-04-07 15:52:49 -06:00
superset fix(migration): handle permalink edge cases correctly (#23980) 2023-05-09 15:28:24 +03:00
superset-embedded-sdk docs: cleanup references to `apache-superset/superset-ui` (#23796) 2023-04-25 09:18:27 -06:00
superset-frontend chore(sqllab): Refactor react-query by redux-toolkit query (#23760) 2023-05-08 14:25:23 -07:00
superset-websocket build(deps-dev): bump eslint from 8.39.0 to 8.40.0 in /superset-websocket (#23961) 2023-05-08 13:56:03 -06:00
tests chore(key-value): use json serialization for main resources (#23888) 2023-05-04 08:04:05 +03:00
.asf.yaml chore: Comment 3.8 PY required CI checks (#24002) 2023-05-10 16:35:26 +03:00
.codecov.yml refactor(monorepo): change coverage of core to 100% (#17698) 2021-12-14 16:19:55 +08:00
.dockerignore feat: Containerize WebSocket server (#14514) 2021-05-10 09:28:50 -07:00
.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
.gitattributes fix: Normalise `*.sh` File Endings (#16608) 2021-09-13 16:25:15 -07:00
.gitignore feat: improve color consistency (save all labels) (#19038) 2022-03-21 15:20:04 +08:00
.gitmodules ci: set remote URL to https and bump sha (#14350) 2021-04-26 17:43:32 +01:00
.markdownlint.json feat(helm): Support for flower and websocket containers (#21806) 2022-10-27 13:03:21 -07:00
.pre-commit-config.yaml chore: Update pre-commit packages (#23173) 2023-03-13 17:05:13 -06:00
.pylintrc fix: Address performance regression introduced in #11785 (#20893) 2022-07-28 22:56:39 -07:00
.rat-excludes feat: Upgrade documentation V2 (#17411) 2022-01-27 14:54:53 -08:00
CHANGELOG.md docs: update CHANGELOG with 2.1.0 (#23646) 2023-04-11 16:37:43 +01:00
CODE_OF_CONDUCT.md chore: using bitly to manage expiring Slack invitation links (#22631) 2023-01-12 14:31:19 -07:00
CONTRIBUTING.md fix: npm run dev-server error resolved (#23702) 2023-04-30 11:13:58 -06:00
Dockerfile fix(docker): optimize docker build by better utilizing build cache (#23624) 2023-04-13 10:31:36 -06:00
INSTALL.md Fix wrong filename mentioned in INSTALL.md (#14630) 2021-06-29 11:40:26 +03:00
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
Makefile chore: Support Python 3.11 (#22217) 2022-12-03 09:25:11 +02:00
NOTICE docs: remove (some) references to incubating/incubation (#12284) 2021-01-06 13:40:40 -08:00
README.md docs: Add Superset Overview Video to README (#23820) 2023-04-25 14:46:05 -06:00
UPDATING.md chore: Deprecates 3.0 consented feature flags (#23785) 2023-04-26 09:51:46 -03:00
docker-compose-non-dev.yml fix(docker-compose): Make worker use correct healthcheck (#23455) (#23587) 2023-04-05 15:18:11 -06:00
docker-compose.yml fix(docker-compose): Make worker use correct healthcheck (#23455) (#23587) 2023-04-05 15:18:11 -06:00
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 chore: Use nh3 lib instead of bleach (#23862) 2023-04-28 14:36:51 +01:00
setup.py chore: Bump python libs (#23986) 2023-05-10 13:19:25 +03:00
tox.ini chore!: remove `ENABLE_REACT_CRUD_VIEWS` feature flag (permanently enable) (#19231) 2022-03-18 14:00:23 -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

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