Dear,

Today I seen a powerful python library written in Rust.
homepage: https://pypi.org/project/polars/
benchmark: https://pypi.org/project/polars/

I remember that they are one year or two they had a sponsored D project on this topic.

So the project, is it …
i) still in development ?
ii) table ?
iii) better than polars and others ?

Thanks

Best regards

On Thursday, 6 January 2022 at 23:05:22 UTC, bioinfornatics wrote:

stable

On Thursday, 6 January 2022 at 23:06:20 UTC, bioinfornatics wrote:

I believe you're talking about magpie

The project has been declared completed, but the author moved on and nobody has touched it since then, I think

Don't know about performance, most likely inferior than anything that's being developed and released today, but still, it's best if you benchmark it yourself

On Friday, 7 January 2022 at 04:04:44 UTC, Tejas wrote:

I had provided some feedback to the author when he was working on it and it does some interesting things. I feel like it really needs someone who cares about doing analysis in D with Dataframes to take over and continue making improvements. An evaluation of the performance capabilities would help identify what is good about magpie and what would need to get improved.

Ideally, some of this work would get incorporated into mir. Mir has some basic time series functionality and you can make homogenous Dataframes (although there might be some functionality that is missing compared to magpie). However, mir does not really have an easy way to handle heterogenous types in the columns. Magpie does and it is important for many practical uses of Dataframes.

On Friday, 7 January 2022 at 15:40:26 UTC, jmh530 wrote:

Just tried to use it - and it is not seems like usable library in its current status.

On Thursday, 20 January 2022 at 19:39:09 UTC, Sergey wrote:

If there are any specific problems, you should file issues. Even if the author is no longer able to work on it, it might be something that people look at if they build a new dataframe library.