9 GitHub repos for building a data analysis agent with GPT-6 Astra
Nine open-source libraries such as Vanna, DuckDB and MindsDB are chained into a question-to-SQL-to-analysis-to-decision pipeline so Astra actually queries databases instead of talking about the business.
AI agents are getting f...cking dangerous with real data 9 GitHub repos for building a GPT 6 Astra system that can explore databases, write SQL, run analysis, and turn raw numbers into decisions 01 Vanna ▸ https://github.com/vanna-ai/vanna → natural language questions into SQL queries GIVE AI ACCESS TO DATA 02 DB-GPT ▸ https://github.com/eosphoros-ai/DB-GPT → build AI applications around private databases 03 MindsDB ▸ https://github.com/mindsdb/mindsdb → connect AI workflows to enterprise data MAKE THE DATA USABLE 04 DuckDB ▸ https://github.com/duckdb/duckdb → run analytical SQL directly on local files 05 Polars ▸ https://github.com/pola-rs/polars → process large datasets with fast DataFrame operations 06 DataFusion ▸ https://github.com/apache/datafusion → build custom SQL query engines TURN ANALYSIS INTO ACTION 07 PandasAI ▸ https://github.com/sinaptik-ai/pandas-ai → ask questions about datasets in natural language 08 Evidence ▸ https://github.com/evidence-dev/evidence → turn SQL queries into interactive reports 09 Metabase ▸ https://github.com/metabase/metabase → explore metrics and build dashboards the architecture: question → schema → SQL → query → validate → analyze → visualize → decision 3 builds worth stealing: finance: Vanna → DuckDB → Evidence business: MindsDB → Polars → Metabase research: DB-GPT → DataFusion → PandasAI here's what makes this interesting most AI agents can explain your business very few can actually inspect the numbers behind it GPT 6 Astra + the right GitHub stack changes what you can build the next useful AI assistant won't just answer questions it'll know where to look for the answer ⭣
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