Alternatives
Products that do what QueryFlow does
One Mac app to replace your entire data stack.
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Bring your app's data to Looker Studio, BigQuery, or AI
Mar 2026 · easyappreports.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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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
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2024 · github.com
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2017 · github.com
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I got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively. You get data lake like catalog, zero-ETL, lineage, versioning, and analytics running entirely on your machine. You can import from a database, webpage, CSV, etc. and query in natural language or do your own work in SQL/Pyspark. Connect to local models like Gemma or cloud LLMs like Claude for querying and analysis. You…
Apr 2026 · stream-sock-3f5.notion.site
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Hi HN! We are Ashish and Armend, founders of GlassFlow. We just launched our open-source streaming ETL that deduplicates and joins Kafka streams before ingesting them to ClickHouse https://github.com/glassflow/clickhouse-etl Why we built this: Dedup with batch data is straightforward. You load the data into a temporary table. Then, find only the latest versions of the record through hashes or keys and keep them. After that, move the clean data into your main table. But have you tried this with streaming data? Users of our prev product were running real-time analytics…
2025 · github.com
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Hi HN. This is a project I've been building for the last month. It's a macOS postgres client that uses your OpenAI key to generate and immediately execute queries against your database locally on your machine. I imagine the user being someone familiar with SQL and able to identify errors in the generated code, but regularly needs to write queries to answer relatively simple questions. This is my first software project I'm intending on selling myself and would love feedback on the product and landing page. I'd also love ideas on how to market it to users, as I'm very new to this. In the near…
2023 · pgmagic.app
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2014 · databaselabs.io
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Github: https://github.com/betocmn/widen I was paying for DataGrip for several years as my desktop database GUI but if I wanted text-to-SQL with LLMs I'd have to pay even more on top. So I decided to build my own and I've been using it for a few weeks now. At any time I'm usually working with 3 to 6 databases, and having them set up in something like Conductor (for parallel agentic coding), but for Postgres databases, lets me quickly start a session, ask questions to my database in plain English, get a data export, move on and close the session. It's been working well and…
Jul 2026 · widen.dev
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Hey HN, I’m Julien, and after finishing my CS sophomore year, I wanted a project to keep me busy during the summer. So I built anyquery for fun, a SQL query engine for pretty much anything. SQL is the industry standard query language for databases. But what if it could query other services? That’s what I wanted to explore. Kinda like Yahoo! Query Language, except that I was too young to see it. Anyquery can run queries on local/remote files (CSV, JSON, logs with Grok, Parquet, HTML tables, etc.), SaaS (GitHub, Notion, Spotify, etc.) and local apps (Apple Notes, Git, Google Chrome tabs,…
2024 · anyquery.dev
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Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…
2025 · github.com
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