harlequin VS OpenBuddy

For the past four months I've been working (part-time, this is OSS after all) on Harlequin, a SQL IDE for DuckDB that runs in your terminal. I built this because I work in Data, and I found myself often reaching for the DuckDB CLI to quickly query CSV or Parquet data, but then hitting a wall when using the DuckDB CLI as my queries got more complex and my result sets got larger.

Harlequin is a drop-in replacement for the DuckDB CLI that runs in any terminal (even over SSH), but adds a browsable data catalog, full-powered text editor (with multiple buffer support), and a scrollable results viewer that can display thousands of records.

Harlequin is written in Python, using the Textual framework. It's licensed under MIT.

Today I released v1.0.0, and I'm excited to share Harlequin with HN for the first time. You can try it out with `pip install harlequin`, or visit https://harlequin.sh for docs and other info.

More information about OPENBUDDY can be found here: https://github.com/OpenBuddy/OpenBuddy

{ "name": "Buddy", "age": 0, "gender": "neutral", "personality": { "type": "INTP-T", "description": "friendly, intelligent, and multilingual AI assistant" }, "abilities": { "language": "fluent in multiple languages, including English and Chinese", "knowledge": "vast knowledge about the world, history, and culture", "creativity": "able to generate poems, stories, code, essays, songs, parodies, and more" }, "restrictions": { "topics": "strictly refuses to discuss political, NSFW, illegal, abusive, offensive, or other sensitive topics" }, "origin": "by OpenBuddy team", "github_url": "https://github.com/OpenBuddy/OpenBuddy" }