datasette-agent-charts 0.1a2

2026-05-21 · Source: Simon Willison's Weblog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Intermediate, quick

Summary

Datasette-agent-charts 0.1a2 was released on May 21st, 2026, by Simon Willison, introducing Observable Plot charts for Datasette Agent. This update significantly enhances the data visualization capabilities within the Datasette ecosystem, allowing users to generate and display rich, interactive plots directly from their SQL queries. A notable new feature in this alpha release is the inclusion of "View SQL query" buttons, strategically placed below each rendered chart. These buttons provide immediate access to the exact SQL query used to produce the visualization, offering crucial transparency for data analysts and developers. This functionality supports easier debugging, validation, and deeper understanding of the data's origin and transformation within the Datasette Agent environment, streamlining the workflow for data exploration and reporting.

Key takeaway

For Data Engineers or Analytics Engineers utilizing Datasette Agent for data exploration and reporting, this 0.1a2 release is significant. You should consider upgrading to gain immediate access to Observable Plot charts and the new "View SQL query" buttons. This feature will streamline your debugging process and enhance transparency when validating the data sources behind your visualizations, making it easier to understand and trust your generated reports.

Key insights

Datasette-agent-charts 0.1a2 adds Observable Plot charts with SQL query transparency to Datasette Agent.

In practice

• Inspect SQL for chart generation.
• Validate data sources behind visualizations.

Topics

• Datasette
• Observable Plot
• Data Visualization
• SQL Querying
• Datasette Agent
• Data Transparency

Code references

• datasette/datasette-agent-charts

Best for: Data Scientist, Data Engineer, Analytics Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.