Apache Superset: Data visualization and exploration platform
Flask-based BI platform for SQL database visualization.
Learn more about Apache Superset
Apache Superset is an open-source business intelligence web application built on Flask that enables interactive data visualization and exploration across SQL-compatible databases. The platform implements a metadata layer that connects to various database engines through SQLAlchemy, translating user interactions in the browser into database queries that are executed server-side. It features a semantic layer for defining custom dimensions and metrics, along with a caching mechanism that stores query results to reduce database load and improve dashboard rendering performance. The frontend architecture uses React and a charting abstraction layer that supports multiple visualization libraries, allowing users to create dashboards through a drag-and-drop interface without writing code. Superset operates as a stateful web service that can be deployed using standard WSGI servers and supports multi-tenancy through role-based access control integrated with various authentication backends.
SQLAlchemy-Based Database Connectivity
Connects to any SQL datastore with a Python DB-API driver and SQLAlchemy dialect—Presto, Trino, Athena, BigQuery, Redshift, and more. No custom connectors required per database type.
Dual Query Interfaces
Offers both a no-code drag-and-drop chart builder and a web-based SQL editor. Users choose simplified workflows or direct SQL composition based on technical expertise.
Lightweight Semantic Layer
Define custom dimensions and metrics without modifying underlying data sources. Includes an API for programmatic customization and extensible security roles for organization-specific requirements.
import requests
response = requests.post(
'http://localhost:8088/api/v1/chart/data',
headers={'Authorization': f'Bearer {access_token}'},
json={
'datasource': {'id': 1, 'type': 'table'},
'queries': [{'columns': ['country', 'sum__sales']}],
'result_format': 'json'
}
)
data = response.json()See how people are using Apache Superset
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