kakoune VS prql

Helix's modal editing is based on Kakoune's modal editing which is like an evolution to Vim's modal editing. You can think of it as being always in selection (visual) mode. https://github.com/mawww/kakoune?tab=readme-ov-file#selectio...

And while it doesn’t use the sam language precisely, I think in the broader “postfix Vi with visual feedback” category Kakoune[1] also warrants mentioning. The command language, in my experience, feels much more logical than that of Vis coming from a blank slate (things might be different if you come from Vim, but even when I used Vim regularly I never used the editing language that much exactly because I could never remember the damn thing).

And having mentioned Kakoune it’d probably be unfair to then not mention Helix[2]. It has a very similar editing language, but it’s a fairly anti-Unix everything-bolted-in affair on the inside (“everything works out of the box” being the advertising take) compared to Kakoune’s Acme-inspired no-scripting scripting (there’s an ex-style command to exec a user program that can then drive the editor over stdio RPC, a set of hooks, and that’s it). So if you’ve come for the Plan 9 feels, I don’t expect Helix to be that appealing. It’s still a good editor, nevertheless.

[1] https://kakoune.org/

[2] https://helix-editor.com/

You can take a look at kakoune. The source code (excluding documentations, test cases, customizations etc.) is less than 40k. It is, IMHO, a show case of a C++ project in use.

> I wonder if the author has ever heard of vis[0]

Yes.

https://github.com/martanne/vis/wiki/Differences-from-Kakoun...

https://github.com/mawww/kakoune/wiki#onboarding

> which imho fulfills far better each one of those premises

Not very motivated for such a harsh critic..

I've been using Vim for years, but if there was one thing I could change, it would be the verb-noun order. The Kakoune[1] editor behaves mostly like Vim, but where Vim has `dw` as "delete word", Kakoune has it backwards: `wd`.

It might sound minor, but by placing the range first, Kakoune can give a preview of what will be changed. The longer or more complicated the command, the more this feature shines.

Strictly better as far as I know. A shame my muscle memory, and all default installations, are still stuck with Vim.

[1] https://kakoune.org/

Helix is a postmodern text editor built in Rust built for the terminal. It is inspired by Kakoune, another Rust based text editor. Helix has got multiple selections, built-in Tree-sitter integration, powerful code manipulation and Language server support.

> 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

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!

> 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-...

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?

PRQL [1] is a compile-to-SQL relational querying language that puts FROM first.

[1] https://prql-lang.org

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