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.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
the portable Python dataframe library
Lightweight and extensible compatibility layer between dataframe libraries!
An extensible framework for linking databases and interactive views.
- data
- duckdb
- interaction
- scalability
Visualize and share your data. All in SQL. Powered by DuckDB.
Data API Framework for AI Agents and Data Apps
Bindings and ADO.NET Provider for DuckDB
Self-hostable, privacy-focused website analytics.
An experimental embedded SQL engine in C++20. Query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, in-process. Early-stage.
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSO—self-hosted as one Go binary or managed in EU/US cloud.
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Common Lisp CFFI wrapper around the DuckDB C API
Turn CSV, Excel, and read-only databases into verified, editable business reports.
A book that demonstrates how to perform typical table data operations using PRQL and DuckDB.
Run DuckDB inside Excel VBA: pandas-style analytics via in-process SQL + native C bridge. High-speed Range/Array ingestion, Parquet/CSV/JSON I/O.