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What apache/superset shipped

The public repository of Apache Superset · github.com/apache/superset

Written by FoxPlug from the repository's own releases; not affiliated with Apache Superset. Paste your own repository in the box below and FoxPlug writes the same weekly update for your product. This page is an automatic summary of the releases, pull requests and commits in github.com/apache/superset; Apache Superset did not write it and does not use or endorse FoxPlug. Every line links to the change it describes.

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Week of October 5, 2026

What shipped

Why it matters

This week tightened correctness in a few places where results were quietly wrong: semantic-view chart data no longer loses integer precision, cumulative normalized histograms divide correctly, and malformed time ranges are rejected instead of silently rewritten. It also made several failure modes less disruptive, from boolean filters on Databricks to shared datasource permissions during purge. Dashboards got a new allowlist for Group By filters and map charts can now be created natively.

Changelog entry

Example posts FoxPlug drafted from these changes. Not written or posted by the project.

Post for X

This week: Group By native filters get a column allowlist, native map charts, capped soft-delete purge, metadata cache invalidation, and fixes for integer precision, cumulative histograms, Databricks boolean filters and malformed time ranges.

Post for LinkedIn

Changes this week include an allowlist for Group By native filters so builders can curate which columns viewers may group by, and typed geographic chart generation so native map charts can be created instead of substitutes. Scheduled soft-delete purge and version-history prune gained a per-run cap, saving semantic-layer configuration clears its metadata caches, and a shared datasource permission now survives purge while another owner uses it. Fixes landed for nullable integer precision in semantic-view chart data, cumulative normalized histograms, boolean filters on Databricks, malformed time ranges being rejected, and the versioning capture predicate being consulted only when versioned work happens.

Week of September 28, 2026

What shipped

Why it matters

This week shipped fixes for data integrity issues (cumulative operators, duplicate columns, heatmap sorting), improved database compatibility (SQLite dates, MySQL TLS, ClickHouse GROUP BY ALL coverage), and better error handling in authentication and API validation. Documentation for semantic-layer MCP tools and visual regression testing infrastructure also landed, supporting both developer experience and reliability.

Changelog entry

Example posts FoxPlug drafted from these changes. Not written or posted by the project.

Post for X

This week: dashboard label_colors GUI, Chromatic visual regression testing, semantic-layer MCP docs, SQLite DATE fixes, cumulative operator corrections, heatmap sorting, MySQL TLS hardening, and auth error handling improvements.

Post for LinkedIn

Superset shipped significant improvements this week across data integrity, database compatibility, and developer experience. Dashboard styling now has a native GUI for label colors, Storybook integrated with Chromatic for visual regression testing, and semantic-layer MCP tools are now documented. Critical fixes address cumulative operators treating gaps as zero, SQLite DATE columns in time filters, silent TLS downgrades in MySQL, and authentication error responses. These changes strengthen reliability and compatibility across multiple database engines.

Week of September 21, 2026

What shipped

Why it matters

This week shipped visualization improvements with the new Candlestick Chart for time series analysis, fixed critical data export paths for deployments without external storage, and resolved several query execution bugs affecting MongoDB datasets, CSV streaming, and dashboard interactions. The changes improve both feature completeness and stability for core workflows.

Changelog entry

Example posts FoxPlug drafted from these changes. Not written or posted by the project.

Post for X

New Candlestick Chart visualization, Excel exports without S3, granular Explore standalone modes, and fixes for MongoDB queries, CSV streaming, and dashboard resizing.

Post for LinkedIn

This week brings visualization and stability improvements to Apache Superset: the new Candlestick Chart for OHLC time series, Excel export that works without S3 buckets, granular Explore standalone modes for iframe embedding, and critical fixes for MongoDB queries, large CSV streaming, dashboard resizing, and chart caching after dataset refresh.

Weeks with too little public activity are left out rather than filled in. Last updated 2026-10-12.

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