Open-source, browser-local data exploration using DuckDB-WASM and PRQL
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…
Open-source, browser-local data exploration using DuckDB-WASM and PRQL launched on March 15, 2024 with 227 votes, #207 of 4,270 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Pretzel is an open-source data exploration tool that runs entirely in the browser using DuckDB-WASM and PRQL. It handles large files efficiently and features reactive updates—when users modify filters or transforms, all dependent blocks automatically re-evaluate. Users can upload CSV or XLSX files and explore data through a series of transforms and visualizations. Since it operates locally in the browser, no data is sent to servers, making it suitable for sensitive information.
written from the facts on this page · September 2026
From the sources
The modern replacement for Jupyter Notebooks. Contribute to pretzelai/pretzelai development by creating an account on GitHub.
In the maker’s words, at launch
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.…
Does a similar job
all alternatives →- DUDuck-UI – Browser-Based SQL IDE for DuckDB2025 · 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…
SQL workbench in the browser2024 · sql-workbench.com · ▲117Free browser-based SQL editor powered by DuckDB. Query and visualize CSV, JSON, Parquet and Arrow files locally or from remote URLs. No installation required.
OpenSheetFeb 2026 · opensheet.app · ▲86Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main things/issues: Why can't the AI also change cells in the file we give to it? Why can't we modify this grid ourselves? So besides the whole READ and text-to-SQL flows, what seemed…
WhatTheDuck – open-source, in-browser SQL on CSV files2024 · github.com · ▲119WhatTheDuck is an in-browser sql tool to analyze csv files that uses duckdb-wasm under the hood. Please provide feedback/issues/pull requests.
- VOVisprex – Open-source, in-browser data visualisation tool for CSV files2024 · docs.visprex.com · ▲194
Hello HN. I've always found writing data visualisation scripts boring and repetitive in data science workflows earlier in my career, so I built this tool to automate it. The available methods are based on my experience in econometrics where histograms and scatterplots were the starting points to check data distributions. The link is to the documentation and the app is freely available at https://visprex.com, and if you're curious about the implementation it's open source at https://github.com/visprex/visprex. I'd appreciate any comments and feedback!
Hyperparam: OSS tools for exploring datasets locally in the browser2025 · hyperparam.app · ▲77For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data scientists and ML engineers to actually look at their data. - Hyparquet: Read any Parquet file in browser/node.js - Icebird: Explore Iceberg tables without needing Spark/Presto - HighTable: Virtual scrolling of millions of rows - Hyparquet-Writer: Export Parquet easily from JS - Hyllama: Read llama.cpp .gguf LLM metadata efficiently CLI for viewing local files: npx hyperparam dataset.parquet Example dataset on Hugging Face Space:…
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