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Awesome List
๐ฆ A curated list of awesome DuckDB resources
GitHub stars and default-branch commits for davidgasquez/awesome-duckdb.
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Python SQL Parser and Transpiler
A lightweight data processing framework built on DuckDB and 3FS.
Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Scalable and efficient data transformation framework - backwards compatible with dbt.
DuckDB-powered Postgres for high performance apps & analytics.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Lightweight and extensible compatibility layer between dataframe libraries!
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
visual data prep powered by python
Visualize and share your data. All in SQL. Powered by DuckDB.
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
Turning PySpark Into a Universal DataFrame API
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB (VLDB Demo 2025)
A DuckDB extension for graph data analytics
A DuckDB extension for in-database inference
The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset
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.
API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps
ๅบไบ DuckDB ็ AI ๅฏ่งๅ SQL ๅทฅไฝๅฐ,ๆฌๅฐๆไปถไธ่ฟ็จๅบไธ็ซๅผ่ทจๆบๅๆใAI-native visual SQL workbench on DuckDB. Query local CSV/Excel/JSON + remote MySQL/Postgres together with text-to-SQL chat โ no ETL, local-first, cross-source JOINs. DuckDB Desktop
A DuckDB extension for working with Kaggle datasets
A Slackbot built on DuckDB & Claude Code that answers data questions from Slack
Your data, explored locally โ and your AI agents kept on a leash. A federated data explorer with governed agentic access.
Data preparation for object-centric process mining
A detective for your data. Zero-config data quality monitoring โ works with dbt, Postgres, BigQuery, Snowflake. No YAML.
A template for developing DuckDB extensions in Zig
Virtual warehouse โ SQL + Jupyter + AI over cloud Parquet via DuckDB
YAML-based data pipeline framework that runs both locally and fully in-browser designed for data engineers, ML teams, and SaaS developers who need flexible, SQL-powered pipelines.