CoreFreq VS prql

Compare CoreFreq vs prql and see what are their differences.

prql

PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement (by PRQL)
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CoreFreq prql
34 104
1,898 9,362
- 3.7%
9.5 9.9
7 days ago 2 days ago
C Rust
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

CoreFreq

Posts with mentions or reviews of CoreFreq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-08.

prql

Posts with mentions or reviews of prql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-23.
  • SQL is syntactic sugar for relational algebra
    2 projects | news.ycombinator.com | 23 Mar 2024
    > 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
    7 projects | news.ycombinator.com | 18 Mar 2024
  • Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
    11 projects | news.ycombinator.com | 15 Mar 2024
    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)
    6 projects | news.ycombinator.com | 28 Feb 2024
    > 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
    50 projects | dev.to | 26 Feb 2024
  • FLaNK Stack Weekly 19 Feb 2024
    50 projects | dev.to | 19 Feb 2024
  • PRQL as a DuckDB Extension
    3 projects | news.ycombinator.com | 25 Jan 2024
    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?
    2 projects | news.ycombinator.com | 25 Jan 2024
    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
    13 projects | news.ycombinator.com | 14 Jan 2024
    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
  • Polars
    11 projects | news.ycombinator.com | 8 Jan 2024
    I am very curious to know how you feel about PRQL (prql-lang.org) ? IMHO it gives you the ergonomics and DX of Polars or Pandas with the power and universality of SQL because you can still execute your queries on any SQL compatible query execution engine of your choice, including Polars and Pandas but also DuckDB, ClickHouse, BigQuery, Redshift, Postgres, Trino/Presto, SQLite, ... to name just a few popular ones.

    The join syntax and semantics is one of the trickiest parts and is under discussion again recently. It's actually one of the key parts of any data transformation platform and is foundational to Relational Algebra, being right there in the "Relational" part and also the R in PRQL. Most of the PRQL built-in primitive transforms are just simple list manipulations like map, filter or reduce but joins require care to preserve monadic composition (see for example the design of SelectMany in LINQ or flatmap in the List Monad). See this comment for some of my thoughts on this: https://github.com/PRQL/prql/issues/3782#issuecomment-181131...

What are some alternatives?

When comparing CoreFreq and prql you can also consider the following projects:

malloy - Malloy is an experimental language for describing data relationships and transformations.

Preql - An interpreted relational query language that compiles to SQL.

RyzenAdj - Adjust power management settings for Ryzen APUs

bustub - The BusTub Relational Database Management System (Educational)

tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more

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

libpg_query - C library for accessing the PostgreSQL parser outside of the server environment

logica - Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.

corectrl

grammars-v4 - Grammars written for ANTLR v4; expectation that the grammars are free of actions.