DataKit, your all in browser data studio is open source now
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…
DataKit, your all in browser data studio is open source now launched on December 8, 2025 with 6 votes, #1,714 of 11,628 launches that month and more than 75% of that year's launches.
What it does
DataKit is a browser-based data analysis platform that processes multi-gigabyte files locally. All processing happens in your browser - no data is sent to external servers. - Datakitpage/Datakit
In the maker’s words, at launch
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…
Does a similar job
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Datakit2025 · datakit.page · ▲10DataKit 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…

Data Studio – Open-Source Data NotebooksFeb 2026 · github.com · ▲28Hey HN, I am Alex. I am open sourcing Data Studio, a lightweight data exploration IDE in your browser that runs locally. Try it: https://local.dataspren.com (no account needed, runs locally) More information: https://github.com/dataspren-analytics/data-studio I love working with data (Postgres, SQL, DuckDB, DBT, Iceberg, ...). I always wanted a data exploration tool that runs in my browser and just works. Without any infra or privacy concerns (DuckDB UI came quite close). Features: - Data Notebooks - SQL cells work like DBT models (they materialize to views) -…
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…
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.
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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Source: Show HN post ↗ · launch text quoted in part
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