Growth · alternatives · 2026
24 alternatives to ZenQuery
Instant answers from your data files using plain english
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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2025 · zenquery.app · its alternatives →
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Hiya HN! TextQuery is my sabbatical project that I have been working on for the past six months. It was born out of a personal pain point. Anytime I wanted to analyze raw CSV data, I had to create a schema first before I could import it for querying. And to create charts, I had to use yet another tool. I also disliked how bad charts from popular tools like Excel, Google Sheets looked like. I wanted an easier way to do this and TextQuery was my solution: an all-in-one tool to query CSV files using SQL and create beautiful visualizations as well. Currently, it's a macOS app and focused on CSV…
2025 · textquery.app · its alternatives →
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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…
2025 · demo.duckui.com · its alternatives →
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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 · its alternatives →
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Seamlessly convert any database into Excel report
2021 · its alternatives →
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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 · its alternatives →
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UseQueue▲260All in one platform to launch your productized services
2023 · usequeue.com · its alternatives →
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Anyquery▲110Query anything with SQL (e.g. Notion, GitHub, JSON)
2024 · anyquery.dev · its alternatives →
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Riddle▲115Beautifully intuitive quiz maker & marketing platform
2015 · riddle.com · its alternatives →
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Jeeves▲88Ask questions, get answers, without spreadsheet formulas
2023 · therocketbrew.com · its alternatives →
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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 · its alternatives →
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Query CSVs using SQL. Contribute to jolmg/cq development by creating an account on GitHub.
2019 · github.com · its alternatives →
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Text2Query▲103Turn plain language into powerful database queries
2025 · text2query.com · its alternatives →
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Lightning-fast chat UI journal with an unique Discreet Mode
2020 · thezenjournal.com · its alternatives →
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folio▲74hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…
Apr 2026 · usefolio.ai · its alternatives →
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Entendo▲61Turn plain-language questions into live chart & analysis
Apr 2026 · entendo.sozodata.com.br · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →