PikaPython VS ibis

PikaPython – ultra-lightweight Python interpreter that runs with only 4KB of RAM, zero dependencies

An ultra-lightweight Python interpreter that runs with only 4KB of RAM, zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar project: MicroPython, JerryScript.

A very interesting solution for high level interface access by less professional developers could be seen in pikascript, which works even on very small devices. WAMR is another project with similar capabilities. Both of them can be very well combined with core infrastructure realized as embedded rust code.

pikascript – An ultra-lightweight Python engine that can run with 4KB of RAM

I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]

0: https://ibis-project.org/

ibis – portable Python dataframe library

The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/

Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)

this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise

Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.

See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.