incubator-superset
https://github.com/apache/incubator-superset
Python
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
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- Issues
- feat(explore): Add anomaly detection for timeseries charts
- fix(sql): avoid false positives in disallowed function checks
- MCP `generate_chart` / `update_chart` should support Custom-SQL adhoc metrics (and saved metrics / computed columns on virtual datasets)
- feat: enable translation or customization of the constants "<NULL>", "TRUE", "FALSE" and "<empty string>"
- feat(chart): add server-side column sorting for table and drill-detail views
- feat(lineage): add lineage visualization across datasets, charts and dashboards
- fix(explore): apply RLS to matrixify dimension values at render
- Filters are not applied to charts after navigating away from and returning to a dashboard that contains multiple tabs.
- feat(i18n): translate asset metadata via configurable hook (SIP-161)
- MCP `generate_chart` returns 'Empty query?' for virtual datasets that use Jinja templating in their SQL
- Docs
- Python not yet supported