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Alternatives

Products that do what ZenQuery does

Instant answers from your data files using plain english

  1. 1ZA
  2. 2
    Zing Data111

    Free collaborative analytics designed for your phone

    2021

  3. 3DU

    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

  4. 4TQ
  5. 5OS

    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

  6. 6

    Seamlessly convert any database into Excel report

    2021

  7. 7
    AskEdith289

    Never write SQL from scratch again

    2022

  8. 8QY

    Hi folks, My friend Sami and I recently built Vizly, a Mac application that allows anyone to query their databases using plain English. Vizly is built on Llama 2, llama.cpp, and runs fully on-prem (edit: meaning everything is local and your data never leaves your own computer). We are running two Llama models, one for natural language to SQL translation, and another that uses the results from the SQL to render visualizations. That means there are no external APIs and all the AI models are running locally on your MacBook. We tried to make Vizly very easy to share as well. Every Vizly instance…

    2023 · vizly.fyi

  9. 9
    UseQueue260

    All in one platform to launch your productized services

    2023

  10. 10PA

    Happy Cyber Monday!

    2014 · psequel.com

  11. 11

    Automate 750+ apps from your Mac's keyboard

    2017

  12. 12
    Anyquery110

    Query anything with SQL (e.g. Notion, GitHub, JSON)

    2024

  13. 13
    Riddle115

    Beautifully intuitive quiz maker & marketing platform

    2015

  14. 14
    Jeeves80

    Your butler for instant insights, cya csvs!

    2022

  15. 15
    Jeeves88

    Ask questions, get answers, without spreadsheet formulas

    2023

  16. 16

    Aggregate info from 750+ web apps, powered by Zapier

    2016

  17. 17SD

    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

  18. 18

    On-device Mac dictation that types into any app

    Aug 2026 · zenproducts.ai

  19. 19

    Instantly create and edit spreadsheets from your menu bar

    May 2026 · apps.apple.com

  20. 20
    Zing119

    Query and visualize your data using OpenAI from your phone

    2022

  21. 21

    Bring your app's data to Looker Studio, BigQuery, or AI

    Mar 2026 · easyappreports.com

  22. 22

    Instantly create and edit spreadsheets from your menu bar

    2025

  23. 23SQ

    Part of the workflow for building my website is the generation of a table in tab-separated column format (.tsv). The source data is found in four other .tsv files. I use an SQLite query to perform a 4-way join and write out the new table. For convenience, I wrote a script that encapsulates the query inside a Bash function. The example below illustrates this technique. repertoire() { pushd $CMM_SOURCES&#x2F;_data sqlite3 <<EOS .headers on .mode tabs .import category.tsv category .import composition.tsv composition .import concert.tsv concert .import program.tsv program .once repertoire.tsv…

    2021

  24. 24

    Turn plain language into powerful database queries

    2025

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