According to Stackoverflow trends, Julia’s popularity is decreasing and very small
Julia and JuliaHub: Advancing Innovation and Growth
11–20 of 72 posts
Re: Julia and JuliaHub: Advancing Innovation and Growth
#12According to Stackoverflow trends, Julia’s popularity is decreasing and very small https://trends.stackoverflow.co/?tags=julia
Or thats the LLM/ChatGPT effect. Can see similar downtrends with other languages
Re: Julia and JuliaHub: Advancing Innovation and Growth
#13According to Stackoverflow trends, Julia’s popularity is decreasing and very small https://trends.stackoverflow.co/?tags=julia
Even languages like Python and Javascript who are huge show a decline after 2022 which suggests ChatGPT is probably responsible. It would be better to have some other measure imo.
Re: Julia and JuliaHub: Advancing Innovation and Growth
#14According to Stackoverflow trends, Julia’s popularity is decreasing and very small https://trends.stackoverflow.co/?tags=julia
Even languages like Python and Javascript who are huge show a decline after 2022 which suggests ChatGPT is probably responsible. It would be better to have some other measure imo.
It measures the proportion of questions for that language out of all languages. So, if there is a general decline in Stackoverflow questions, it’s already accounted for in the metric
Re: Julia and JuliaHub: Advancing Innovation and Growth
#15According to Stackoverflow trends, Julia’s popularity is decreasing and very small https://trends.stackoverflow.co/?tags=julia
That's mostly because Julia questions get answered on its Discourse or Slack. The sharp decline is due to an automatic cross-post bot that stopped working.
No one bothered fixing it, in great part due to Discourse being the main place of discussion, as far as I know.
Re: Julia and JuliaHub: Advancing Innovation and Growth
#16Earlier quoted context omitted.
It felt to me like they wanted to be the language for ML/DL, which they haven't achieved. They clearly have been working more towards scientific stuff + ML, all the differential equations and math packages are a testament to that (as well as the pharma stuff with Puma). I'm not aware of what the vision is currently tbh
I think one really good use case is complex simulations.
[deleted]
Re: Julia and JuliaHub: Advancing Innovation and Growth
#17Earlier quoted context omitted.
Even languages like Python and Javascript who are huge show a decline after 2022 which suggests ChatGPT is probably responsible. It would be better to have some other measure imo.
It measures the proportion of questions for that language out of all languages. So, if there is a general decline in Stackoverflow questions, it’s already accounted for in the metric
There are too many confounding factors still.
Re: Julia and JuliaHub: Advancing Innovation and Growth
#18Earlier quoted context omitted.
Depends on which train Julia folks want to board into.
It felt to me like they wanted to be the language for ML/DL, which they haven't achieved. They clearly have been working more towards scientific stuff + ML, all the differential equations and math packages are a testament to that (as well as the pharma stuff with Puma). I'm not aware of what the vision is currently tbh
The key for me — as someone who has been around for a long time and is at JuliaHub — is that Julia excels most at problems that don't already have an efficient library implementation.
If your work is well-served by existing libraries, great! There's no need to compete against something that's already working well. But that's frequently not the case for modeling, simulation, differential equations, and SciML.
Re: Julia and JuliaHub: Advancing Innovation and Growth
#19I've used, and am still using, Julia for my PhD research. It's perfect for parallel/distributed computing, and the neural network primitives are more than enough for my purposes. Anything I write in pure julia runs really, really fast, and has great profiling tools to improve performance further.
Julia also integrates with python, with stuff like PythonCall.jl. I've gotten everything to work so far, but it hasn't been smooth. The python code is always the major bottleneck though, so I try to avoid it.
Overall, julia is a significantly better language in every single aspect except for ecosystem and the occassional environment issue, which you'll get with conda often anyways. It's really a shame that practically nobody actually cares about it compared to python. It supports multi-dimensional arrays as a first-class citizen, which means that each package doesn't have it's own array like torch, numpy, etc, and you don't have to constantly convert between the types.
Re: Julia and JuliaHub: Advancing Innovation and Growth
#20Earlier quoted context omitted.
Even languages like Python and Javascript who are huge show a decline after 2022 which suggests ChatGPT is probably responsible. It would be better to have some other measure imo.
It measures the proportion of questions for that language out of all languages. So, if there is a general decline in Stackoverflow questions, it’s already accounted for in the metric
[deleted]