ColumnLens

What it does

Native C++ desktop app with built-in SQL engine, interactive charts, 3D city visualization, text toolkit, and Lua scripting. Opens 5GB+ CSV, JSONL, Parquet, Excel & SQLite files in seconds. Built for data engineers, IoT teams, analysts, and anyone working with massive structured data. No Electron. No cloud.

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  SQL Workbench2024 · sql-workbench.com · ▲186

  In-browser SQL Workbench for data querying & visualization

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  SQL workbench in the browser2024 · sql-workbench.com · ▲117

  Free browser-based SQL editor powered by DuckDB. Query and visualize CSV, JSON, Parquet and Arrow files locally or from remote URLs. No installation required.

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  ClangQL – Query C++ codebases using SQLite2021 · github.com · ▲73

  Query C++ codebases using SQLite. Contribute to frabert/ClangQL development by creating an account on GitHub.

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  EventQL – Open-source distributed SQL analytics database in C++112016 · github.com · ▲90

  Distributed "massively parallel" SQL query engine. Contribute to eventql/eventql development by creating an account on GitHub.

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  DataRamen, a Fast SQL Explorer with Automatic Joins and Data Navigation2025 · dataramen.xyz · ▲48

  I built DataRamen, a local-first SQL explorer that helps you get the data you need fast, without writing repetitive queries every time. You run it locally from the CLI (no cloud version yet), connect your databases, and you're ready to go. The goal is to let you explore and query data like you would in a spreadsheet: intuitive, fast, and without friction. Key features: - Automatic joins & related data navigation: Right-click any row to instantly see related records in other tables (based on foreign keys or references). - Keyboard-driven UI: Hit N to jump to a table, F to filter, and so on,…

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  CSV GB+ by Data.olllo – Open and Process CSVs Locally2025 · apps.microsoft.com · ▲51

  I 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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  Dev tools · 27d ago · github.com

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  Talanoa▲346

  Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…

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