Canner/WrenAI
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Star count as of 00:37 (BKK).
Canner/WrenAI has 18k stars and gained +232 of them in the last 30 days, a 1.3% change. It is written in Python, grouped under ai-agents, released under NOASSERTION. A merged pull request waits a median of 4.7 days from opening to merge, measured on 181 pull requests. Last pushed on 23 Oct 2026.
Star history
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Growth
| Period | Stars gained | Growth | From | Measured |
|---|---|---|---|---|
| Last 6 hours | — | — | — | Not measured |
| Last 12 hours | — | — | — | Not measured |
| Today | +9 | 0.1% | 18k on 25 Oct 2026 | Daily snapshots |
| Last 7 days | — | — | — | Last measured 25 Oct 2026 |
| Last 30 days | +232 | 1.3% | 17.7k on 27 Sep 2026 | Weekly history |
| Last year | +5.7k | 46.7% | 12.3k on 26 Oct 2025 | Weekly history |
A period with no current measurement is left blank: a delta needs a measurement at both ends of the period. The 6- and 12-hour periods need two intraday measurements exactly that far apart, the day-and-longer periods need snapshots on both dates, and the last year also needs star history from a year ago, which we keep for one year.
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