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Datapuddle vs LLM Fuzz CI

Ambos están en Woodander. Esto es lo que hace cada uno, para quién es y en qué se diferencian — según lo que escribieron sus creadores y nuestros editores.

Datapuddle LLM Fuzz CI
Qué es A native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB. A GitHub Action that lets a coding agent write adversarial inputs for your tests, and reports only the ones that fail.
Categoría Apps y asistentes de IA Apps y asistentes de IA
Precios Paid —
Página mantenida por Editores de Woodander Editores de Woodander
En Woodander desde octubre 2026 octubre 2026
Sitio web datapuddle.app tiime-software.github.io

Sobre Datapuddle

A native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB. DuckDB has been my swiss-army knife for a while now. I have a special place in my heart for polished native macOS apps. My somewhat outsized and exaggerated dislike for electron/webkit based has lead me toil away on several native macOS apps on my own...mostly to not much profit :)I wanted to build a nice DuckDB client. Though I usually reach for TablePlus, my favorite multi-db client on Macs, I felt like there wasn't a nice DuckDB oriented experience.One thing that I used DuckDB for on locally on my desktop is dealing with larger datasets. And paging is something that was annoying a...

Elige Datapuddle si necesitas a native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB.

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Sobre LLM Fuzz CI

A GitHub Action that lets a coding agent write adversarial inputs for your tests, and reports only the ones that fail. Hi HN!Most of the explanation is in the blog post, and the code lives there: https://github.com/tiime-software/llm-fuzz-ci/Happy to receive feedback, and to know how other people use agents to improve code security!

Elige LLM Fuzz CI si necesitas a GitHub Action that lets a coding agent write adversarial inputs for your tests, and reports only the ones that fail.

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