Datakit
DataKit started as my solution to Excel crashing on large files, but it's grown into a full browser-based data platform that handles CSV/Parquet/XLSXL/JSON files up to 20GB+ entirely client-side. What it does: Drag files → instant SQL querying (joins, aggregations, everything) Automatic data profiling (quality issues, null values, duplicates) Smart visualizations for every column type Export transformed/filtered results Now self-hostable: After requests from teams needing this behind firewalls, the entire platform can run on your infrastructure via…
Datakit launched on May 20, 2025 with 10 votes, #2,185 of 7,905 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Datakit leverages WebAssembly to process large datasets directly in your browser, without uploading your data to any server.
In the maker’s words, at launch
DataKit started as my solution to Excel crashing on large files, but it's grown into a full browser-based data platform that handles CSV/Parquet/XLSXL/JSON files up to 20GB+ entirely client-side. What it does: Drag files → instant SQL querying (joins, aggregations, everything) Automatic data profiling…
Does a similar job
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DataKit, your all in browser data studio is open source nowDec 2025 · github.com · ▲6Hey 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…
TextQuery – Query CSV, JSON, XLSX Files with SQL2025 · textquery.app · ▲163Hiya HN! TextQuery is my sabbatical project that I have been working on for the past six months. It was born out of a personal pain point. Anytime I wanted to analyze raw CSV data, I had to create a schema first before I could import it for querying. And to create charts, I had to use yet another tool. I also disliked how bad charts from popular tools like Excel, Google Sheets looked like. I wanted an easier way to do this and TextQuery was my solution: an all-in-one tool to query CSV files using SQL and create beautiful visualizations as well. Currently, it's a macOS app and focused on CSV…


Convert Large CSV/XLSX to JSON or XML in Browser2025 · csvforge.com · ▲41Hello HN, I'm excited to share a project I've been working on: A simple, fast way to process huge CSV and XLSX files directly in your browser and export them as clean JSON or XML Here's a few things that makes this converter different: - runs in the browser - all parsing and conversion is client side can handle data any size data - automatically detects delimiters, encodings, and data types as it parses - Live preview with column renaming, search/replace, and data cleanup - Export to JSON or XML — clean, structured output that can be used for API or Databases backstory: I built this…
CSV GB+ by Data.olllo – Open and Process CSVs Locally2025 · apps.microsoft.com · ▲51I built CSV GB+ by Data.olllo, a local data tool that lets you open, clean, and export gigabyte-sized CSVs (even billions of rows) without writing code. Most spreadsheet apps choke on big files. Coding in pandas or Polars works—but not everyone wants to write scripts just to filter or merge CSVs. CSV GB+ gives you a fast, point-and-click interface built on dual backends (memory-optimized or disk-backed) so you can process huge datasets offline. Key Features: Handles massive CSVs with ease — merge, split, dedup, filter, batch export Smart engine switch: disk-based "V Core" or RAM-based "P…
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