Alternatives
Products that do what ColumnLens does
Your data as a 3D city. SQL engine meets GPU rendering.
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The project is called QueryStorm. It uses Roslyn to offer C# (and VB.NET) support in Excel, as an alternative to VBA. I've posted about it before, but a lot has changed since then so figured I'd share an update. The current version includes a host of new features, namely a C# debugger, support for NuGet packages, and the ability to publish Excel extensions to an "AppStore" (which is essentially a NuGet repository). The AppStore can be used by anyone with the (free) runtime component. Another great addition is the community license, which is a free license for individuals and small companies…
2023 · querystorm.com
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I have spent large parts of the last 10+ years building an SQL Editor. The tool is targeted at data analysts, a lot of effort has gone into charting, visualizing and excel export. If this sounds useful to you, it's Free, please give it a try and let me know any feedback.
2024 · timestored.com
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I love Jekyll, especially the Datafiles[0] feature, which lets you use CSV/JSON/YAML files and iterate through them. Mixed with the Jekyll Data Pages generator[1], which lets you create a page for every row in your dataset, it is a very powerful combination. However, Liquid is a terrible language for data-mangling, and simple filtering/sorting/merging can become very annoying. So I wrote a Jekyll SQLite plugin that lets you use the same data interface in Jekyll/Liquid, but backed by a SQLite file(s). It gives you the simplicity of the Baked Data pattern[2], and the…
2024 · github.com
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I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…
Mar 2026 · github.com
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I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…
Oct 2025 · demo.duckui.com
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Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…
2024 · github.com
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We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.
13d ago · github.com
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2021 · github.com
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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,…
2025 · dataramen.xyz
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2025 · textquery.app
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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…
2025 · apps.microsoft.com
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Hey 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) -…
Feb 2026 · github.com
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SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com
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I've always been curious about how SQL engines actually work. So I built a minimum viable SQL engine in Go. - Supports CSV files as tables - Supports SELECT, FROM, WHERE, LIMIT It's very simple: 1. Parses query string 2. Converts it into an AST representation 3. Executes the query against the CSV 4. Returns the results
2024 · github.com
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Manipulate your SQLite database like a giant Javascript object. Built with o1.
2024 · gist.github.com
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