Qduck – DuckDB client API for KDB/Q
Open source library for allowing KDB users to interact with DuckDB. The main motivation was to be able to query open data formats on s3 buckets without having to rely on python/pykx. Great for adhoc research when you want to join new data with existing data stored in KDB.
Does the same job
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- DAdstack – an open-source tool to build data applications easily2020 · ▲134
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
- ANA Node.js wrapper for the DuckDuckGo API2013 · github.com · ▲6
- CDConnect DuckDB to any database that has an ADBC driverJul 2026 · github.com · ▲7
Hi everyone, I'm a PhD student in databases at CMU. Over the past few months, I've been interning at Columnar and building a community extension for DuckDB that lets you query Snowflake, Databricks, BigQuery, PostgreSQL, MySQL, and any other system with an ADBC (Arrow Database Connectivity) driver. The extension supports querying ADBC databases directly through a read_adbc table function. It also supports using ATTACH to connect to an ADBC database and then running SELECT, INSERT, COPY, and CTAS statements as if the database were local to DuckDB. You can install it from DuckDB by running:…
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Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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