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Stacklet fork — local development

This is Stacklet's fork of Apache Superset (branded AssetDB). It replaces the upstream navigation with the Stacklet design-system sidebar, consumed from the private @stacklet/ui package. To run it locally you need Docker, Node 22, and AWS credentials with access to the stacklet.client.ui CodeArtifact repository.

1. Install frontend dependencies

cd superset-frontend
npm run auth # logs npm into CodeArtifact; tokens expire after ~12h
npx -y npm@10 ci # use npm 10 — the lockfile does not resolve under npm 11

If installs start failing with 401/403 on @stacklet/* packages, the CodeArtifact token has expired — rerun npm run auth.

2. Start the backend (from the repo root)

echo"SUPERSET_LOAD_EXAMPLES=no">> docker/.env-local # optional: much faster first start
TAG=6.1.0rc3 docker compose -f docker-compose-image-tag.yml up -d db redis superset superset-init

Use the TAG matching the upstream release this fork is based on. Once superset-init finishes, the backend answers on http://localhost:8088 (login admin / admin).

3. Start the frontend dev server

cd superset-frontend
npm run dev-server -- --port 9001

Then open http://localhost:9001. The dev server proxies API calls to the backend on :8088 and hot-reloads frontend changes. Port 9001 is a suggestion — the default 9000 is often held by a Docker port-forward.

The Stacklet-specific frontend code lives in superset-frontend/src/stacklet/.


Superset

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Superset logo (light)

A modern, enterprise-ready business intelligence web application.

Documentation

  • User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
  • Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
  • Developer Guide — Contribute to Superset or build on its REST API and extension framework.

Why Superset? | Supported Databases | Release Notes | Get Involved | 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

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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:

Amazon AthenaAmazon DynamoDBAmazon RedshiftApache DorisApache DrillApache DruidApache HiveApache ImpalaApache KylinApache PinotApache SolrApache Spark SQLAscendAurora MySQL (Data API)Aurora PostgreSQL (Data API)Azure Data ExplorerAzure SynapseClickHouseCloudflare D1CockroachDBCouchbaseCrateDBDatabendDatabricksDenodoDremioDuckDBElasticsearchExasolFirebirdFireboltGoogle BigQueryGoogle SheetsGreenplumHologresIBM Db2IBM Netezza Performance ServerMariaDBMicrosoft SQL ServerMonetDBMongoDBMotherDuckOceanBaseOraclePrestoRisingWaveSAP HANASAP SybaseShillelaghSingleStoreSnowflakeSQLiteStarRocksSuperset meta databaseTDengineTeradataTimescaleDBTrinoVerticaYDBYugabyteDB

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 Developer Guide 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

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Apache Superset is a Data Visualization and Data Exploration Platform

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