Apache Superset is a Data Visualization and Data Exploration Platform
Alternatives To Superset
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Echarts56,462411 hours ago12January 27, 20212,383apache-2.0TypeScript
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Superset54,394162 hours ago6April 18, 20231,523apache-2.0TypeScript
Apache Superset is a Data Visualization and Data Exploration Platform
Echarts For Weixin6,528
2 months ago479bsd-3-clauseJavaScript
Apache ECharts 的微信小程序版本
Echarts For React4,143660489a month ago54October 29, 202144mitTypeScript
⛳️ Apache ECharts components for React wrapper. 一个简单的 Apache echarts 的 React 封装。
Spline53942 days ago14July 25, 201944apache-2.0Scala
Data Lineage Tracking And Visualization Solution
Awesome Swing373
3 months ago
A list of frameworks, libraries and software for the Java Swing GUI toolkit.
a year ago22otherJulia
Julia package for the Apache ECharts v4 visualization library
Decision Tree Visualization Spark39
4 years agoJavaScript
🌲 Decision Tree Visualization for Apache Spark
2 years ago1apache-2.0Python
A financial data processing and visualization platform using Apache Kafka, Apache Cassandra, and Bokeh.
Groovy Data Science32
4 months agoapache-2.0Groovy
Some Data Science examples using Groovy
Alternatives To Superset
Select To Compare

Alternative Project Comparisons


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


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

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 to find resources around contributing along with a detailed guide on how to set up a development environment.


Superset 2.0!

Understanding the Superset Points of View

Popular Visualization Projects
Popular Apache Projects
Popular User Interface Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Data Science
Data Visualization
Data Analysis
Data Analytics
Data Engineering
Business Intelligence