Evan Rusackas 504c3df43f feat(i18n): serve language packs as versioned, immutable-cacheable scripts
Follow-up to #39357, which inlined the Jed language pack into the
bootstrap HTML to fix the code-split translation race (#35330). That
made non-English full-page loads carry ~67KB (gzipped) of pack on every
request since HTML is uncacheable.

This keeps the synchronous-configuration guarantee but moves the pack
to a content-addressed script: spa.html emits
<script src="/language_pack/<lang>/<version>/script.js"> before the
entry bundle, where <version> is a short content hash of the pack file.
The endpoint serves window.__SUPERSET_LANGUAGE_PACK__ = {...} with
Cache-Control: public, max-age=31536000, immutable, so browsers fetch
the pack once per translation change instead of once per page load, and
cache-bust automatically on upgrade (fixing the stale-pack window the
unversioned /language_pack/<lang>/ fetch had under the 1-year
SEND_FILE_MAX_AGE_DEFAULT).

Details:
- English emits no tag and pays nothing.
- A stale version in a cached HTML page still gets current content,
  served no-cache so it can't pin under the wrong address.
- Packs provided via COMMON_BOOTSTRAP_OVERRIDES_FUNC still ride the
  bootstrap payload and suppress the script tag (spa.html stashes them
  on window instead), preserving the historical workaround.
- The endpoint is deliberately unauthenticated: catalogs are static
  public repo content with no user data, and must load for anonymous
  principals (login page, embedded).
- preamble.ts fallback chain unchanged: bootstrap pack, window global,
  then async fetch if the script failed to load.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-05 21:16:59 -07:00
2024-04-15 11:21:42 -06:00

Superset

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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

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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 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
TypeScript 38.1%
Python 37.2%
Jupyter Notebook 21.7%
HTML 2.4%
JavaScript 0.3%
Other 0.2%