📊Wren AI
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.
⭐ Very popular: 17k stars, gaining about 166 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- Lowers the barrier for non-technical users to access and analyze complex datasets.
- Produces accurate SQL and governed outputs via a semantic layer.
- Embeds directly into apps or workflows, enabling SaaS features and custom agents.
under the hood
- Supports major data sources (Postgres, BigQuery, Snowflake, Redshift, MySQL, ClickHouse, Oracle, MSSQL, Trino, DuckDB).
- Integrates with multiple LLMs: OpenAI, Anthropic, Gemini, Groq, Ollama, Databricks, and more.
- Modular architecture with API access, managed cloud service, and open source self-hosted deployment.
our take from PR#16, 2025-09-03
star history
- PR#16 11k 2025-09-03
- now 17k + 6k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Quietly building: more output than attention, for now.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
-
Open Source GenBI Agent
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