Turtle
prql
Turtle | prql | |
---|---|---|
9 | 106 | |
27 | 9,436 | |
- | 0.8% | |
6.4 | 9.9 | |
7 months ago | 6 days ago | |
Kotlin | Rust | |
MIT License | Apache License 2.0 |
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.
Turtle
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GQL: A SQL like query language for .git files
I am very interested in Compiler and Programming languages, so when trying to practice as much as I can for example I created a port for Turtle graphics https://github.com/AmrDeveloper/Turtle, last two weeks I was reading a book called Building git, it is about building git from scratch and start learning rust then got the idea of merging the idea and create a language to run on .git files and on the started i think of implementing it as some language like Lua but i found that SQL like will be easier for this case
- GitHub - AmrDeveloper/Turtle: Turtle Graphics implementation for Android Platform with Code Editor, Preview Screen and packages
- Turtle Graphics version 1.3.1 is live now on Google Play
- Turtle Graphics Android App version 1.3.1 is released
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Turtle Graphics implementation for Android
Github: AmrDeveloper/turtle
- GitHub - AmrDeveloper/Turtle: Turtle Graphics š¢ implementation for Android Platform with Code Editor, Preview Screen and packages
- Turtle Graphics š¢ implementation for Android Platform with Code Editor, Preview Screen and packages
prql
- Prolog language for PostgreSQL proof of concept
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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
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
Hey HN! Weāve 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). Itās 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 thatās pre-loaded (GitHub data of text-editor adjacent projects) or upload your own CSV/XLSX file. The tool runs fully in-browserāyou can disconnect from the internet once the website loadsāso feel free to use sensitive data if you like.
Hereās 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 āBlockā. 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, weāre 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 doesnāt support DuckDBās Pivot statement though so we had to make some CTE based hacks).
Thereās also an AI block: This is the only (optional) feature that requires an internet connection but weāre 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; itās 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.
Thereās two of us and weāve only spent about a week coding this and fixing major bugs so there are still some bugs to iron out. Weād love for you to try this and to get your feedback!
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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 FebruaryĀ 2024
- FLaNK Stack Weekly 19 Feb 2024
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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?
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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
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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
What are some alternatives?
TreeView - Multi roots TreeView :palm_tree: implementation for Android Platform with a lot of options and customization
malloy - Malloy is an experimental language for describing data relationships and transformations.
gql_db - Relational Database Server with Integrated Version Control
Preql - An interpreted relational query language that compiles to SQL.
EasyAdapter - Android Annotation Processing Library to generate your adapters only with Annotations on your model, support working with Kapt and KSP Processors
bustub - The BusTub Relational Database Management System (Educational)
prql-query - Query and transform data with PRQL
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
Android CodeView - Android Library to make it easy to create an Code editor or IDE that support any languages and themes, with auto complete, auto indenting, snippets and more features
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
toydb - Distributed SQL database in Rust, written as a learning project
rfcs - RFCs for major changes to EdgeDB