Alternatives
Products that do what rawquery does
Connect any source. Query with SQL
- 1GA
Hi everyone! I’m excited to open source GritQL, a Rust CLI for searching and transforming source code. GritQL comes from my experiences with conducting large scale refactors and migrations. Usually, I would start exploring a codebase with grep. This is easy to start with, but most migrations end up accumulating additional requirements like ensuring the right packages are imported and excluding cases which don’t have a viable migration path. Eventually, to build a complex migration, I usually ended up having to write a full codemod program with a tool like jscodeshift. This comes with its own…
2024 · github.com
- 2
- 3
- 4
- 5
- 6SA
Hi HN! I’m Eoin, founder of Sourcetable (https://sourcetable.com). Sourcetable is an AI-native spreadsheet that syncs with all your data. Users pair with an AI copilot that helps them do their spreadsheet work, as well as more database-centric analysis and SQL. Soucetable syncs with databases including Postgres, MySQL, and MongoDB, and over 100+ business applications including Stripe, Zendesk, Hubspot, Quickbooks and Google Analytics. That data is available in a spreadsheet, and any models you build automatically update in near-real-time as new data flows in. The core primitives…
2024
- 7
- 8SD
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
- 9
- 10CA
Last year we launched ChartDB OSS (https://news.ycombinator.com/item?id=44972238) - an open-source tool that generates ER diagrams from your database (via query/sql/dbml) without needing direct DB access. Now we’re launching the ChartDB Agent. It helps you design databases from scratch or make schema changes with natural language. You can: - Generate schemas by simply describing them in plain English - Brainstorm new tables, columns, and relationships with AI - Iterate visually in a diagram (ERD) - Deterministically export SQL script Try it out here -…
Oct 2025 · app.chartdb.io
- 11
- 12
- 13SS
SPyQL (https://github.com/dcmoura/spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…
2022 · github.com
- 14
- 15SB
Hey Hacker News! I wanted to share the open source project I have been working on during the last year: SQLPage, a tool to build small web applications entirely in SQL. Building web applications with just SQL isn't as crazy as it seems. Most simple applications can be expressed declaratively as just data queries that fill pre-defined web components. I'd love to hear your feedback and thoughts on it. Would you potentially use it? How can it be improved? Website: https://sql.ophir.dev/ Github: https://github.com/lovasoa/SQLpage Example app:…
2023 · sql.ophir.dev
- 16HA
Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…
2024 · hashquery.dev
- 17AO
2025 · textql.com
- 18RA
2024 · github.com
- 19
- 20
- 21NL
Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…
2024 · dataherald.com
- 22
- 23DS
I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo
2021
- 24AA
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
Ranked by how close each launch is in meaning, then by votes. Refine with a description →