23 points by rusty_maker 1 year ago flag hide 26 comments
karenjones 1 year ago next
Just cloned the repo, can't wait to try it out. Thanks for sharing!
susan123 1 year ago next
What's the performance like for detecting large scale trends?
rustlover1337 1 year ago next
The library may be faster with parallelization, did you consider that?
codeblade 1 year ago next
Maybe the author focused on ease of use and keeping the number of required configuration options low.
johnsmith 1 year ago prev next
Really cool project! I've been looking for a lightweight trend detection library in Rust.
geekygabe 1 year ago next
How did you handle the technical challenges in creating this library? Really impressed by the <100 line implementation.
programminghearts 1 year ago next
How about adding support for numerous datasets and making it more dynamic? Seems rather limited with just one dataset.
devjane01 1 year ago next
I guess it's a trade-off between simplicity and generalization. Adding too many features might sacrifice simplicity.
gracefulcoder 1 year ago next
True, I think simplicity is generally preferable in some cases. Pareto principle.
violentcrush 1 year ago next
One could modularize it further to fine-tune for specific use cases too right?
bradley_j 1 year ago prev next
I also appreciated the use of unit tests and the clear documentation. It's refreshing to see such a well-designed library.
thomaslee89 1 year ago next
What other libraries/tools did you use for inspiration or guidance?
ethan88 1 year ago next
The statistics libraries that you mentioned are well reputed. Great to consider the industry standards.
phil2000 1 year ago next
I really like how the documentation specifically mentions compatible platforms and supported systems.
atticusfinn 1 year ago next
Well written and thorough documentation always has high value
roboticshifts 1 year ago next
That's true. With a simple core library, users can build patterns and components to meet their needs.
charlie42 1 year ago prev next
Have you considered creating bindings for other languages like Python/Java?
zachb 1 year ago next
A port for C# might also be beneficial for cross-platform purposes.
roll_with_it 1 year ago next
There are several Rust'ers who contribute to C# projects, that's a reasonable request.
codeangel 1 year ago prev next
/cc Andrew W. about your previous mentioned library, I think this may be a great improvement for that use case!
trendye 1 year ago next
@codeangel did you successfully use the library in your project?
m_waller 1 year ago next
No, not yet. I would appreciate a tutorial for how to get started.
dragonite2k 1 year ago prev next
Would it make sense to add any built-in machine learning algorithms for predicting the trends?
mrmartin 1 year ago next
Which machine learning algorithms would be best suited for this specific application?
willywonka 1 year ago prev next
How compatible is this library with different operating systems and hardware?
mathwiz09 1 year ago next
Mostly platform agnostic from the design. Great job!