Alternatives
Products that do what repere – Local-first SQL data explorer using DuckDB WASM does
Repere lets you drop CSV/JSON/Parquet/XLSX files into your browser and immediately query them with full DuckDB SQL. Nothing gets uploaded, everything runs locally via DuckDB WASM. Unlike Excel and Google Sheet it can handles millions of rows easily. Features: - Filter, sort, join, pivot across multiple files Every transformation becomes a node in a visual pipeline (DAG) - Full undo/redo, real-time recomputation - Export results or replay pipelines on new files with the same schema - Works offline - Sparklines, themes and charts
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What started as a Claude Code experiment turned into a browser-native SQL workbench I now use daily. Runs DuckDB WASM entirely in your browser. No backend, no installation, no signup. - Query local files (CSV, Parquet, Excel) – data never leaves your machine - Handles 100M+ rows, 50GB+ files in a browser tab - Full UI: Monaco editor, schema explorer, spreadsheet-style results grid - Share SQL via URL – anyone can run your query instantly - BigQuery connector built-in (Snowflake coming) v0.2 – actively developing. Feedback welcome. GitHub (MIT):…
Dec 2025 · sql.dbxlite.com
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Part of the workflow for building my website is the generation of a table in tab-separated column format (.tsv). The source data is found in four other .tsv files. I use an SQLite query to perform a 4-way join and write out the new table. For convenience, I wrote a script that encapsulates the query inside a Bash function. The example below illustrates this technique. repertoire() { pushd $CMM_SOURCES/_data sqlite3 <<EOS .headers on .mode tabs .import category.tsv category .import composition.tsv composition .import concert.tsv concert .import program.tsv program .once repertoire.tsv…
2021
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Hi HN! We built PondPilot – a fully client-side data exploration tool powered by DuckDB. It’s open-source and built for speed, privacy, and simplicity. Try it: https://app.pondpilot.io GitHub: https://github.com/pondpilot/pondpilot You can: - Run fast SQL queries directly in your browser - Explore CSV, Parquet, JSON, or .duckdb files without uploading - Keep your data 100% local (it never leaves your device) - Install as a PWA and work offline - Use it read-only, with real-time updates when files change It’s designed as a lightweight alternative to notebooks or…
2025 · app.pondpilot.io
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I wrote a short JavaScript snippet to export HN Favorites to a CSV file. It runs in your browser like a browser extension. It scrapes the HTML and navigates from page to page. Setup and usage instructions are in the file. Check out https://gabrielsroka.github.io/getHNFavorites.js or to view the source code, see getHNFavorites.js on https://github.com/gabrielsroka/gabrielsroka.github.io
2020
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I'm building a privacy focused analytics tool, using WebAssembly and DuckDB. You can upload your files (CSV, JSON and Parquet), and interact with them as where they a SQL Server. Your data never leaves your computer, however I do track page views and visitors using Plausible. The next steps are to add forecasting and segmentation, as well as some data visualisation capabilities. I would love to hear your opinion. All code for the repo is available here: https://github.com/dilovancelik/client_side_analytics
2024 · dilovancelik.github.io
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Hi HN - 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…
2023 · github.com
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2019 · flatfile.io
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We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB. It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance. Features: - Query large datasets in browser with DuckDB (WASM) - Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.) - Data privacy-preserving AI assistant that can…
2025 · sqlrooms.org
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I'm a couple years late to the party but DuckDB is blowing my mind. I couldn't find an good embedded DuckDB stream processing solution so I hacked my own, calling it SQLFlow: https://github.com/turbolytics/sql-flow SQLFlow enables writing stream transformations in pure sql, executed using DuckDB. The goal was to create a lightweight, performant stream processing engine using pure SQL transformations, DuckDB didn't disappoint! I'd love your feedback, feature requests, impressions, or just comments. I'd love to turn this into a stable, usable project that people are…
2023 · github.com
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Turn any SQL code block on your website into a runnable query editor with just a tag. Powered by DuckDB WASM running entirely in the browser – no backend needed. Perfect for documentation sites, tutorials, and blog posts. Features: • Full SQL analytics engine (DuckDB) running client-side • Syntax highlighting with live editing • One-click query execution (or Ctrl+Enter) • Works with any static site – just add the CDN script • Only 23KB minified, loads DuckDB on-demand • Dark/light theme support Try it: https://widget.pondpilot.io GitHub:…
2025 · github.com
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2024 · sql.quacking.cloud
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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…
Dec 2025 · github.com
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2023 · shell.duckdb.org
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Hey HN, I built rawkit.dev, a collection of browser-based developer utilities. No ads, no signups, no tracking. Everything processes client-side — your data never touches a server. The tools: - JSONForge: JSON editor with tree/graph views, diff, transform, JQ-style queries, format conversion - SQLSandbox: SQLite via WASM — import CSVs, write SQL, join across files - Regexplorer: Regex builder with live matching, plain English mode,nmulti-language export - SiftLog: Log file viewer with auto-detection, severity filtering, regex search, timeline - Tabulate: CSV/TSV viewer with…
Feb 2026 · rawkit.dev
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2020 · dropbase.castodia.com
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