prql
vanna
prql | vanna | |
---|---|---|
106 | 21 | |
9,436 | 6,474 | |
0.8% | 8.1% | |
9.9 | 9.5 | |
2 days ago | 7 days ago | |
Rust | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
prql
- Prolog language for PostgreSQL proof of concept
-
SQL is syntactic sugar for relational algebra
> I completely attribute this to SQL being difficult or "backwards" to parse. I mean backwards in the way that in SQL you start with what you want first (the SELECT) rather than what you have and widdling it down.
> The turning point for me was to just accept SQL for what it is.
Or just write PRQL and compile it to SQL
https://github.com/PRQL/prql
- Transpile Any SQL to PostgreSQL Dialect
-
Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
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 your own CSV/XLSX file. The tool runs fully in-browser—you can disconnect from the internet once the website loads—so feel free to use sensitive data if you like.
Here’s how it works: You upload a CSV file and then, explore your data as a series of successive data transforms and plots. For example, you might: (1) Remove some columns; (2) Apply some filters (remove nulls, remove outliers, restrict time range etc); (3) Do a pivot (i.e, a group-by but fancier); (4) Plot a chart; (5) Download the chart and the the transformed data. See screenshot: https://imgur.com/a/qO4yURI
In the UI, each transform step appears as a “Block”. You can always see the result of the full transform in a table on the right. The transform blocks are editable - for instance in the example above, you can go to step 2, change some filters and the reactivity will take care of re-computing all the cells that follow, including the charts.
We wanted Pretzel to run locally in the browser and be extremely performant on large files. So, we parse CSVs with the fastest CSV parser (uDSV: https://github.com/leeoniya/uDSV) and use DuckDB-Wasm (https://github.com/duckdb/duckdb-wasm) to do all the heavy lifting of processing the data. We also wanted to allow for chained data transformations where each new block operates on the result of the previous block. For this, we’re using PRQL (https://prql-lang.org/) since it maps 1-1 with chained data transform blocks - each block maps to a chunk of PRQL which when combined, describes the full data transform chain. (PRQL doesn’t support DuckDB’s Pivot statement though so we had to make some CTE based hacks).
There’s also an AI block: This is the only (optional) feature that requires an internet connection but we’re working on adding local model support via Ollama. For now, you can use your own OpenAI API key or use an AI server we provide (GPT4 proxy; it’s loaded with a few credits), specify a transform in plain english and get back the SQL for the transform which you can edit.
Our roadmap includes allowing API calls to create new columns; support for an SQL block with nice autocomplete features, and a Python block (using Pyodide to run Python in the browser) on the results of the data transforms, much like a jupyter notebook.
There’s two of us and we’ve only spent about a week coding this and fixing major bugs so there are still some bugs to iron out. We’d love for you to try this and to get your feedback!
-
Pql, a pipelined query language that compiles to SQL (written in Go)
> Looks like PRQL doesn't have a Go library so I guess they just really wanted something in Go?
There's some C bindings and the example in the README shows integration with Go:
https://github.com/PRQL/prql/tree/main/prqlc/bindings/prqlc-...
- FLaNK Stack 26 February 2024
- FLaNK Stack Weekly 19 Feb 2024
-
PRQL as a DuckDB Extension
Can someone tell me why PRQL is better? I went here: https://github.com/PRQL/prql
It looks nice, but what's the strengths compared to SQL?
-
Shouldn't FROM come before SELECT in SQL?
PRQL [1] is a compile-to-SQL relational querying language that puts FROM first.
[1] https://prql-lang.org
-
Vanna.ai: Chat with your SQL database
https://prql-lang.org/ might be an answer for this. As a cross-database pipelined language, it would allow RAG to be intermixed with the query, and the syntax may(?) be more reliable to generate
vanna
-
Database Education Needs Moderization
vanna-ai is a pretty cool project that combines AI with database knowledge. SQLAI seems to be a small German company which specializes in this area. I will start exploring these in my free time.
- Vanna
- FLaNK Stack Weekly 12 February 2024
-
🪸6 Text2SQL Tools to Write Stunning SQL for you ☄️
Vanna is a Python framework that allows the training of an RAG model with queries, DDL, and documentation from a database.
-
An open source DuckDB text to SQL LLM
I’m trying to solve for this with my project and (at least based on what people say in Discord), it’s working really well for them:
https://github.com/vanna-ai/vanna
-
Vanna.ai: Chat with your SQL database
This is a good idea. I think what you'd want to do is override the generate_sql function and store the question with the "related" metadata and the generated sql somewhere:
https://github.com/vanna-ai/vanna/blob/main/src/vanna/base/b...
We're going to be adding a generic logging function soon and fairly soon what you're talking about could just be a custom logger.
- Show HN: Python package for generating accurate SQL via LLMs using RAG
- Are there any open source projects that need contributors?
-
Weekly Self-Promotional Mega Thread 11, 04.12.2023 - 11.12.2023
Website: https://vanna.ai
-
Show HN: Dropbase – Build internal web apps with just Python
Oh man, I would love to compare notes.
I pivoted in the reverse direction from:
https://github.com/pycob/pyvibe
To
https://github.com/vanna-ai/vanna
What are some alternatives?
malloy - Malloy is an experimental language for describing data relationships and transformations.
divedb - This is the source repository for the DiveDB site
Preql - An interpreted relational query language that compiles to SQL.
iot_devices - Minimal generic API and data model for an IOT device
bustub - The BusTub Relational Database Management System (Educational)
pls - `pls` is a prettier and powerful `ls(1)` for the pros.
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
cria - OpenAI compatible API for serving LLAMA-2 model
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
ansible-easy-vpn - An Ansible playbook that sets up a Wireguard server with ad blocking, DNS-over-HTTPS, and a WebUI with 2FA
toydb - Distributed SQL database in Rust, written as a learning project
magentic - Seamlessly integrate LLMs as Python functions