Apache Superset is a Data Visualization and Data Exploration Platform
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helm/superset chore(helm): Bumping app version to 3.1.1 in helm chart (#27569) 2024-03-19 08:11:04 -07:00
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superset fix: row limits & row count labels are confusing (#27700) 2024-04-02 13:58:35 -07:00
superset-embedded-sdk build(deps-dev): bump follow-redirects from 1.15.4 to 1.15.6 in /superset-embedded-sdk (#27516) 2024-03-14 16:41:06 -06:00
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docker-compose.yml chore: Bump to Python3.10 (#24112) 2024-04-02 09:47:58 -07:00
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setup.py fix: bump sqlglot to support materialized CTEs (#27576) 2024-03-20 15:26:01 -04:00
superset_text.yml chore(build): creating default superset_text.yaml placeholder file (#24250) 2023-06-04 22:37:33 -06:00
tox.ini chore: Bump to Python3.10 (#24112) 2024-04-02 09:47:58 -07:00

README.md

Superset

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Superset logo (light)

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 databend starrocks doris

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 "In the Wild" - open a PR to add your org to the list!
  • Feature Flags - the status of Superset's Feature Flags.
  • Standard Roles - How RBAC permissions map to roles.
  • Superset Wiki - Tons of additional community resources: best practices, community content and other information.
  • Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.

Superset 2.0!

Understanding the Superset Points of View

Repo Activity

Performance Stats of apache/superset - Last 28 days