Gridka — Blazing fast CSV viewing
Native macOS CSV viewer that actually handles large files
What it does
Most CSV tools are slow, Electron-based, or make you import data before you can do anything useful. Gridka is different. It’s a fully native AppKit app powered by DuckDB under the hood — meaning you can drop a large file and start querying it in seconds, no setup required. **What you can do:** ∙ View CSV, TSV, and any delimited format instantly ∙ Run SQL queries directly on your data ∙ Sort, filter, and aggregate without leaving the app ∙ No imports, no cloud, no Electron Give it a go.
Does the same job
all alternatives →- DUDuck-UI – Browser-Based SQL IDE for DuckDBOct 2025 · demo.duckui.com · ▲213
I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…
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Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…
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Hey HN! I'm open-sourcing DataKit today. GitHub: https://github.com/datakitpage/datakit Live demo: https://datakit.page DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser. What it does: • Process large files (tested up to 20GB) without any server • Full SQL interface powered by DuckDB compiled to WebAssembly • Python notebooks via Pyodide for data science workflows • Connect to remote sources (PostgreSQL, MotherDuck, S3) with…
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