Alternatives
Products that do what DataKit, your all in browser data studio is open source now does
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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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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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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Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020
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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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Hey all! I wrote Explorer[1] a good few years ago now with the dream of fast dataframes with a dplyr-like API in a really powerful, ergonomic language (Elixir). It's proved pretty successful. Explorer is used in production at my company, and it's my go-to for quick data analysis. But maintaining it became a true albatross. Polars is an amazing project, but the development process is fast and a lot is very focused on the Python lib. We found that trying to maintain Explorer against Polars was a maintenance nightmare and eventually hit points where we had to give up features and found it…
Mar 2026 · github.com
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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
Jan 2026 · repere.ai
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This is niche, I'll admit. I needed to look through the latest census data, but it was exported as multiple multi-gigabyte bespoke latin1-encoded CSV files. Pandas, Polars, and SQLite's CSV import tool weren't much help, so I shelved the project until recently, when I started taking a SQLite course online. I picked it up again, normalized the data, and now there's a database that can be queried through a SQL view that matches the headings in the original CSVs. I'm proud of the script I created to export the data, as well as automatically compress the artifact, make the diagrams and…
2024 · github.com
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Hi HN, StyleKit is a Chrome extension I developed to help teams quickly capture and document website design systems. It's free to download and use. As someone who works on both design and development, I frequently study and record how websites look for different projects, or document the design of other sites for an aspect I really liked. This takes a lot of my time: opening web developer, finding style classes, viewing the computed style to see what was actually happening, and then storing information I wanted to save. Sometimes I couldn't find an element either way. I created StyleKit to…
2025 · chromewebstore.google.com
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RunKit is a browser based tmux manager that works great on a phone over Tailscale. I created it to be able to run several AI agents in parallel, after trying out several existing tools. There's no database (state is read live from tmux). Right now, its the first thing I install on any server, and from there on RunKit becomes the management cock-pit for that server. Also, for running several agents in parallel, RunKit has been a lifesaver. It shows the status of all running agent on the left panel, and sends you a notification anytime an agent is stuck. Please try it out, and let me know if…
Jul 2026 · github.com
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I built this because I was tired of scrolling through hundreds of lines of AWS CLI JSON output just to find instance status. hawk brings pandas-like operations (select, group_by, aggregations) to CLI with unified syntax across JSON/YAML/CSV. Key features: - Instant data structure overview with `| info` - Same query syntax for all formats - Built in Rust for speed and single-binary distribution Would love feedback from the community!
2025 · github.com
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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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