Evan Rusackas 949a882173 fix: resolve additional TypeScript errors in filter and metric controls
- Cast operatorId to Operators type in MULTI_OPERATORS and DISABLE_INPUT_OPERATORS checks
- Add SelectValue type import and cast comparator value
- Fix onRemove callback signature mismatch in AdhocFilterOption
- Provide default no-op for optional onClose in AdhocFilterPopoverTrigger
- Cast comparator to string in useGetTimeRangeLabel
- Convert null to undefined in FixedOrMetricControl onChange
- Add return value to onFocus callback for TextControl
- Fix AdhocMetric column assignment and label fallback
- Use optional chaining for column access in AdhocMetric tests
- Cast this to AdhocMetricInput in inferSqlExpression methods

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-03 22:07:03 -08:00
2025-12-04 13:18:34 -05:00

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

superset-video-1080p.webm


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-bigquery snowflake trino presto databricks druid firebolt timescale 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 oceanbase sap-hana denodo ydb TDengine

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

Try out Superset's quickstart guide or learn about the options for production deployments.

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

Understanding the Superset Points of View

Repo Activity

Performance Stats of apache/superset - Last 28 days
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Python 33.2%
Jupyter Notebook 22.7%
HTML 2.7%
JavaScript 0.4%
Other 0.2%