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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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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.
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
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.
The fastest business intelligence tool for humans and agents.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
visual data prep powered by python
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.
Visualize and share your data. All in SQL. Powered by DuckDB.
Self-hostable, privacy-focused website analytics.
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
A fast viewer for CSV/Parquet files and databases such as DuckDB, SQLite, PostgreSQL, MySQL, Clickhouse, etc., base on Tauri
Minimal RFC 5424 syslog collector and viewer based on DuckDB. Runs as a single, resource-friendly process.
๐ Plug and play analytics for Phoenix applications.
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB (VLDB Demo 2025)
DuckDB extension to read and write Google Sheets using SQL
A minimal DuckDB Wasm build for browsers and serverless environments like Cloudflare Workers
An example of how to run DuckDB on AWS Lambda & API Gateway.
A playground for running duckdb as a stateless query engine over a data lake
CLI to create an ER Diagram from DuckDB database files
Packaging DuckDB for Node.js Lambda functions. Example application: https://github.com/tobilg/serverless-duckdb
A DuckDB extension for graph data analytics
The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset
Python+VueJS application to load, explore, combine,transform and deliver data
Running DuckDB behind a Hono.js API
100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSOโself-hosted as one Go binary or managed in EU/US cloud.
๐ฅOne modern BI and data platform. AI data exploration, dashboards, and pixel-perfect report generation โ replacing Qlik, Tableau and Crystal Reports.
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
A statistical computing toolkit for DuckDB.
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
Lambda function to serverlessly repartition parquet files in S3
a duckdb extension for querying encoded protobuf messages
A no code tool to help build pivot tables from any database with a few clicks.
Functional todo list app demonstrating DuckDB WASM OPFS persistence
No description.
The Modern Codex for Local Data Analysis.
Utilities for using DuckDB in react
Your data, explored locally โ and your AI agents kept on a leash. A federated data explorer with governed agentic access.
Efficiently show and monitor end-of-life dates for a number of products in your terminal and CI using endoflife.date API
Privacy-first local data analytics powered by 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.