Claude Code 4f77538bc2 feat(examples): add a Handlebars CSS showcase tab to the misc_charts dashboard
Addresses rusackas's leftover note on #42328: "The handlebars showcase tab
idea (keep the logo, add a Misc tab of CSS-heavy handlebars examples)."

- Kept the existing Sales Handlebars List example (the Superset logo demo)
  untouched, per "keep the logo".
- Added a new "Sales Handlebars Showcase" chart: a product-line leaderboard
  rendered as cards, using the plugin's actual CSS-heavy capabilities --
  the dedicated "CSS Styles" field for card/badge/gradient-bar styling, the
  registered `formatNumber` helper, and just-handlebars-helpers'
  conditional (`gt`, `eq`) and math (`sum`, `division`, `multiplication`)
  helpers for rank medals (top 3), tier badges (Top Seller/Strong/Growing),
  and proportional progress bars. The card markup, rank, and badge text
  are plain text/emoji and always render; the colors/shape/bars come from
  the CSS field and require an administrator to allow `style` elements via
  HTML_SANITIZATION_SCHEMA_EXTENSIONS (server-side sanitization strips
  `<style>` by default) -- same caveat the control's own tooltip warns
  about, documented in the chart's description.
- Restructured misc_charts/dashboard.yaml from a flat grid into two tabs
  ("Charts" holding all existing content unchanged, "Handlebars Showcase"
  holding the new chart), matching the TABS/TAB position-JSON schema real
  Superset-authored tabbed dashboards use (e.g. sales_dashboard).

Verified against a local build with the new content loaded: the "Charts"
tab still renders every pre-existing chart, and the new tab renders the
leaderboard correctly in both light and dark app themes (screenshotted,
not just structurally validated) -- caught and fixed one real issue this
way, a rank-number color that inherited the app's dark-mode text color and
went low-contrast against the card background.

Not part of this change: the handlebars plugin's own thumbnail.png
gallery art (the crawler has no VIZ_TYPE_THUMBNAILS entry for handlebars
by design, to preserve the existing logo art) and the separate "gallery
diversification" backlog item from the same PR comment.
2026-08-06 16:23:46 -07:00

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

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:

Amazon Athena   Amazon DynamoDB   Amazon Redshift   Apache Doris   Apache Drill   Apache Druid   Apache Hive   Apache Impala   Apache Kylin   Apache Pinot   Apache Solr   Apache Spark SQL   Ascend   Aurora MySQL (Data API)   Aurora PostgreSQL (Data API)   Azure Data Explorer   Azure Synapse   ClickHouse   Cloudflare D1   CockroachDB   Couchbase   CrateDB   Databend   Databricks   Denodo   Dremio   DuckDB   Elasticsearch   Exasol   Firebird   Firebolt   Google BigQuery   Google Sheets   Greenplum   Hologres   IBM Db2   IBM Netezza Performance Server   MariaDB   Microsoft SQL Server   MonetDB   MongoDB   MotherDuck   OceanBase   Oracle   Presto   RisingWave   SAP HANA   SAP Sybase   Shillelagh   SingleStore   Snowflake   SQLite   StarRocks   Superset meta database   TDengine   Teradata   TimescaleDB   Trino   Vertica   YDB   YugabyteDB

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

Languages
Python 41.5%
TypeScript 37.9%
Jupyter Notebook 17.9%
HTML 2.1%
JavaScript 0.3%
Other 0.2%