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DuckDB just released Quack: a client/server protocol over HTTP. Any DuckDB can serve (quack_serve()), any DuckDB can attach to it. DuckDB-Wasm included since it's plain HTTP on port 9494. Some fun stuff : - A browser tab talking directly to a DuckDB server somewhere on the internet - Local-first... show more

Mehdi Ouazza

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65,674 次观看 • 2 个月前 •via X (Twitter)

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We're excited to announce duckdb-skills, a DuckDB plugin for Claude Code! We think the embedded nature of DuckDB makes it a perfect companion for Claude in your local workflows. The skills supported include: + read-file and query – uses DuckDB's CLI to query data locally, unlocking easy access to any file that DuckDB can read. + read-memories – a clever idea to store your Claude memories in DuckDB and query them at blazing speed. These are powered by two additional skills: + attach-db – gives Claude a mechanism to manage DuckDB state through a .sql file linked to your project. + duckdb-docs – uses a remote DuckDB full-text search database to query the DuckDB docs and answer all of your (and Claude's own) questions.

We're excited to announce duckdb-skills, a DuckDB plugin for Claude Code! We think the embedded nature of DuckDB makes it a perfect companion for Claude in your local workflows. The skills supported include: + read-file and query – uses DuckDB's CLI to query data locally, unlocking easy access to any file that DuckDB can read. + read-memories – a clever idea to store your Claude memories in DuckDB and query them at blazing speed. These are powered by two additional skills: + attach-db – gives Claude a mechanism to manage DuckDB state through a .sql file linked to your project. + duckdb-docs – uses a remote DuckDB full-text search database to query the DuckDB docs and answer all of your (and Claude's own) questions.

DuckDB

60,605 次观看 • 3 个月前

This Tuesday, we announced Quack, our new protocol that turns DuckDB into a client-server database. Watch Hannes' talk, recorded at the AI Council, where he explained how Quack works in practice, what stack it's built on, how it performs, and what our long-term ambitions are.

This Tuesday, we announced Quack, our new protocol that turns DuckDB into a client-server database. Watch Hannes' talk, recorded at the AI Council, where he explained how Quack works in practice, what stack it's built on, how it performs, and what our long-term ambitions are.

DuckDB

11,069 次观看 • 1 个月前

The 1.4 release of DuckDB supports using a DuckDB database to serve vector tiles! Of course, I had to try this out in R. Check it out: all 242,000 US Census block groups dynamically served as vector tiles from a DuckDB database, displayed on a MapLibre map from R in Positron.

The 1.4 release of DuckDB supports using a DuckDB database to serve vector tiles! Of course, I had to try this out in R. Check it out: all 242,000 US Census block groups dynamically served as vector tiles from a DuckDB database, displayed on a MapLibre map from R in Positron.

Kyle Walker

45,495 次观看 • 8 个月前

Web Analytics in the browser with DuckDB WASM: Filtering in milliseconds, instead of waiting for API responses

Web Analytics in the browser with DuckDB WASM: Filtering in milliseconds, instead of waiting for API responses

Tobias Müller

56,910 次观看 • 1 年前

Let Postgres own the Iceberg catalog and delegate analytics to DuckDB. The result => transactional lakehouse updates with fast analytical queries. This isn’t a concept. It’s exactly what pg_lake delivers today. pg_lake combines a set of extensions and components that let you query and modify Iceberg tables (and other lakehouse formats) directly from Postgres. DuckDB is used to accelerate analytical queries and runs in a sidecar process called pgduck_server, which communicates with Postgres during query execution. How it works (diagram below): 1. An application sends a query to Postgres to calculate unrealized PnL (Profit and Loss) for the Disney ticker. 2. Postgres parses the query and identifies the part that computes the average price from historical lakehouse data. 3. That part is forwarded to pgduck_server for accelerated execution. 4. pgduck_server delegates execution to DuckDB, which queries the lakehouse (reusing cached data if available). 5. DuckDB computes the average price and returns it to Postgres. 6. Postgres joins the result with local portfolio data and computes the unrealized PnL. 7. The final result is returned to the application.

Let Postgres own the Iceberg catalog and delegate analytics to DuckDB. The result => transactional lakehouse updates with fast analytical queries. This isn’t a concept. It’s exactly what pg_lake delivers today. pg_lake combines a set of extensions and components that let you query and modify Iceberg tables (and other lakehouse formats) directly from Postgres. DuckDB is used to accelerate analytical queries and runs in a sidecar process called pgduck_server, which communicates with Postgres during query execution. How it works (diagram below): 1. An application sends a query to Postgres to calculate unrealized PnL (Profit and Loss) for the Disney ticker. 2. Postgres parses the query and identifies the part that computes the average price from historical lakehouse data. 3. That part is forwarded to pgduck_server for accelerated execution. 4. pgduck_server delegates execution to DuckDB, which queries the lakehouse (reusing cached data if available). 5. DuckDB computes the average price and returns it to Postgres. 6. Postgres joins the result with local portfolio data and computes the unrealized PnL. 7. The final result is returned to the application.

Denis Magda

28,473 次观看 • 5 个月前

Friends, I just witnessed a miracle :) Parquet with 600 M rows in #onelake , #duckdb server in my laptop, #PowerBI in Direct Query mode using this experminetal driver

Friends, I just witnessed a miracle :) Parquet with 600 M rows in #onelake , #duckdb server in my laptop, #PowerBI in Direct Query mode using this experminetal driver

Mim

13,661 次观看 • 1 个月前

instant-feedback SQL editing aka "query-as-you-type" uses DuckDB's AST, duckdb-wasm for local-first caching, and MotherDuck as the backend Still early, but should enable arbitrary scale and still retain a near real-time feel while writing ad hoc queries! Bye bye run button 👋

instant-feedback SQL editing aka "query-as-you-type" uses DuckDB's AST, duckdb-wasm for local-first caching, and MotherDuck as the backend Still early, but should enable arbitrary scale and still retain a near real-time feel while writing ad hoc queries! Bye bye run button 👋

Hamilton Ulmer

58,215 次观看 • 1 年前

Built a spatial SQL explorer for my GIS students this week. Drop a GeoJSON, practice writing queries, see instant results on a map + linked table. All in-browser, nothing to install. Powered by DuckDB WASM + MapLibre. Try it out:

Built a spatial SQL explorer for my GIS students this week. Drop a GeoJSON, practice writing queries, see instant results on a map + linked table. All in-browser, nothing to install. Powered by DuckDB WASM + MapLibre. Try it out:

Kyle Walker

21,088 次观看 • 4 个月前

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

GeoLibre v0.9.0 is out. GeoLibre is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens. This release turns GeoLibre into a far more complete analysis environment. Highlights: - New cloud data panels for Microsoft Planetary Computer and Google Earth Engine, plus an Overture Maps plugin and federal Web Services plugins, including NASA Earthdata, USGS National Map, EPA EnviroAtlas, FEMA NFHL - Accessing 1000+ NASA Earthdata layers with a few simple clicks - Time Slider plugin for animating time series raster and vector data - SQL Workspace: run DuckDB Spatial SQL directly against loaded layers, local files, and remote URLs, with query history and one-click "add results to map" - Conversion tools: Vector to GeoParquet, CSV to GeoParquet, and Raster to COG, running in the browser with DuckDB-WASM - Controls menu with Measure, Bookmark, Minimap, View State, and Print Everything is open source. Try it in your browser, install the desktop app, or self-host it. Live demo: GitHub: Feedback and contributions are welcome. #GIS #Geospatial #OpenSource #MapLibre #DuckDB #WebGIS #GeoLibre

Qiusheng Wu

42,102 次观看 • 1 个月前

Live Q&A and Demo this week of Instant SQL for *instant* results as you type your queries in the DuckDB UI. Join creator Hamilton Ulmer in this webinar to dive into the details.

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MotherDuck

221,114 次观看 • 1 年前

DuckDB-gsheets is live! read & write google sheets in pure SQL no one can stop you FWAHAHAHAHA

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archie 🦋

12,539 次观看 • 1 年前

14.3 million parcels visualized across Texas. Draw a shape, query DuckDB, tabulate surface ownership instantly. Modern geospatial tooling brings powerful land analytics to your laptop.

14.3 million parcels visualized across Texas. Draw a shape, query DuckDB, tabulate surface ownership instantly. Modern geospatial tooling brings powerful land analytics to your laptop.

Kyle Walker

35,563 次观看 • 2 个月前

sqlit is a lazygit style SQL TUI for the terminal. It supports 10+ databases (Postgres, SQLite, Supabase, ClickHouse, DuckDB, etc), has query history, autocomplete and more. Peter Adams (Maxteabag on GitHub) made sqlit using textualize.io and is Terminal Tool of the Week! ⭐️

sqlit is a lazygit style SQL TUI for the terminal. It supports 10+ databases (Postgres, SQLite, Supabase, ClickHouse, DuckDB, etc), has query history, autocomplete and more. Peter Adams (Maxteabag on GitHub) made sqlit using textualize.io and is Terminal Tool of the Week! ⭐️

Terminal Trove

137,289 次观看 • 6 个月前

What is HTTP Downgrading, why use it, and how does it work? HTTP/2 is default for most web apps these days, however, it's not uncommon for backend servers to still use HTTP/1.1 causing parsing mismatches between frontend and backend. And that's where HTTP downgrading comes in! But what is it? HTTP downgrading is the process of forcing a request to be processed under HTTP/1.1 instead of HTTP/2. This allows you to manipulate how the frontend and backend servers interpret requests and exploit vulnerabilities unique to HTTP/1.1 parsing such as Content-Length Transfer-Encoding (CL.TE) attacks. How to downgrade HTTP/2 to HTTP/1.1 using Burp Suite 1️⃣ Open Burp Suite and Navigate to Proxy → HTTP History 2️⃣ Locate the request that is currently using HTTP/2. 3️⃣ Send the Request to Repeater 4️⃣ In the Repeater tab, open the "Inspector" panel → Request Attributes → Protocol 5️⃣ Change HTTP Version to HTTP/1.1 6️⃣ Click "Send" in Repeater. If successful, you should receive a valid response, confirming the server accepts HTTP/1.1. And that's it! You've just downgraded the HTTP protocol and confirmed that the frontend server accepts HTTP/1.1! 🥳 You are now ready to smuggle requests! If you want to learn how to exploit this, we've got a Web Academy Lab you need to check out: Thanks for reading! #requestsmuggling #cybersecurity #BurpSuite #hacking #infosec

What is HTTP Downgrading, why use it, and how does it work? HTTP/2 is default for most web apps these days, however, it's not uncommon for backend servers to still use HTTP/1.1 causing parsing mismatches between frontend and backend. And that's where HTTP downgrading comes in! But what is it? HTTP downgrading is the process of forcing a request to be processed under HTTP/1.1 instead of HTTP/2. This allows you to manipulate how the frontend and backend servers interpret requests and exploit vulnerabilities unique to HTTP/1.1 parsing such as Content-Length Transfer-Encoding (CL.TE) attacks. How to downgrade HTTP/2 to HTTP/1.1 using Burp Suite 1️⃣ Open Burp Suite and Navigate to Proxy → HTTP History 2️⃣ Locate the request that is currently using HTTP/2. 3️⃣ Send the Request to Repeater 4️⃣ In the Repeater tab, open the "Inspector" panel → Request Attributes → Protocol 5️⃣ Change HTTP Version to HTTP/1.1 6️⃣ Click "Send" in Repeater. If successful, you should receive a valid response, confirming the server accepts HTTP/1.1. And that's it! You've just downgraded the HTTP protocol and confirmed that the frontend server accepts HTTP/1.1! 🥳 You are now ready to smuggle requests! If you want to learn how to exploit this, we've got a Web Academy Lab you need to check out: Thanks for reading! #requestsmuggling #cybersecurity #BurpSuite #hacking #infosec

Web Security Academy

62,639 次观看 • 1 年前

What if you could search 50M satellite image embeddings with no server, no database, and no API? Part 2 of Caleb Robinson and my series on Compressing Earth Embeddings is live at We binarized the global Clay v1.5 Sentinel-2 embeddings from 183GB → 7GB and built TerraBit — a retrieval demo that runs with zero backend. DuckDB-WASM, cleverly partitioned GeoParquet on S3, and brute-force Hamming in an in-memory index makes the experience feel too good to be true. If you also wondered how Google's TurboQuant fares on compressing earth embeddings -- don't worry, we got you covered in the blog -- hint: TurboQuant int4 is a solid choice

What if you could search 50M satellite image embeddings with no server, no database, and no API? Part 2 of Caleb Robinson and my series on Compressing Earth Embeddings is live at We binarized the global Clay v1.5 Sentinel-2 embeddings from 183GB → 7GB and built TerraBit — a retrieval demo that runs with zero backend. DuckDB-WASM, cleverly partitioned GeoParquet on S3, and brute-force Hamming in an in-memory index makes the experience feel too good to be true. If you also wondered how Google's TurboQuant fares on compressing earth embeddings -- don't worry, we got you covered in the blog -- hint: TurboQuant int4 is a solid choice

Isaac Corley

42,905 次观看 • 3 个月前

I am very excited to release GeoLibre v1.0 🌍 GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. In this video, I walk through GeoLibre 1.0 step by step: how to install and run it, load vector and raster data, stream gigabyte-scale cloud-native datasets without downloading them, edit attributes and geometry, work with PMTiles, 3D tiles, LiDAR point clouds, and DuckDB, and share your projects as static links. GeoLibre is built on MapLibre GL JS, React + TypeScript, Tauri (Rust), DuckDB, and Try it: GitHub: Full video tutorial: If you have feature requests or run into bugs, leave a comment or open an issue on GitHub. And if you find GeoLibre useful, please give it a star. #GIS #OpenSource #Geospatial #MapLibre #Python #DataVisualization #GeoLibre

I am very excited to release GeoLibre v1.0 🌍 GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. In this video, I walk through GeoLibre 1.0 step by step: how to install and run it, load vector and raster data, stream gigabyte-scale cloud-native datasets without downloading them, edit attributes and geometry, work with PMTiles, 3D tiles, LiDAR point clouds, and DuckDB, and share your projects as static links. GeoLibre is built on MapLibre GL JS, React + TypeScript, Tauri (Rust), DuckDB, and Try it: GitHub: Full video tutorial: If you have feature requests or run into bugs, leave a comment or open an issue on GitHub. And if you find GeoLibre useful, please give it a star. #GIS #OpenSource #Geospatial #MapLibre #Python #DataVisualization #GeoLibre

Qiusheng Wu

39,173 次观看 • 1 个月前

Cursor now has a built-in web browser. You can say "start my app" and it will run the dev server in a terminal and then navigate the browser to localhost:3000. It can take screenshots of the page for iterating on design, and you can send DOM elements to the agent with prompts!

Cursor now has a built-in web browser. You can say "start my app" and it will run the dev server in a terminal and then navigate the browser to localhost:3000. It can take screenshots of the page for iterating on design, and you can send DOM elements to the agent with prompts!

Lee Robinson

216,134 次观看 • 8 个月前

I built an AI Data Analysis Agent. Just upload CSV/Excel files and analyze data through natural language. It uses DuckDB for lightning-fast processing. 100% Opensource Code with step-by-step tutorial.

I built an AI Data Analysis Agent. Just upload CSV/Excel files and analyze data through natural language. It uses DuckDB for lightning-fast processing. 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

88,517 次观看 • 1 年前

Build a 100% local, private, and secure MCP client. You can connect it to any MCP server. Step-by-step guide:

Build a 100% local, private, and secure MCP client. You can connect it to any MCP server. Step-by-step guide:

Akshay 🚀

15,560 次观看 • 7 个月前

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

39,608 次观看 • 29 天前