Catlab.jl
JET.jl
Catlab.jl | JET.jl | |
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4 | 13 | |
585 | 690 | |
0.7% | - | |
9.0 | 9.0 | |
7 days ago | 12 days ago | |
Julia | Julia | |
MIT License | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Catlab.jl
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Data Structures as Topological Spaces (2002) [pdf]
Related to this, AlgebraicJulia has been doing a lot with applying concepts from algebra and category theory to data analysis and modelling.
https://www.algebraicjulia.org/
There's some blog posts that are also interesting:
https://blog.algebraicjulia.org/
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Fart Proudly – An Essay by Benjamin Franklin
> Maybe I’m just too bitter about academia in this point in my career but it seems like we’ve run out of things to study and/or have too many people doing it.
We have certainly not run out of things to study, but I think we've hit the limit on what can effectively be communicated through traditional science journals [1], and we need to address the reproducibility crisis through open source science and reconsider the incentive structures around academia [2]. We need to oppose initiatives from people like Bill Gates who wish to privatize science through his various non-profits, as knowledge works better as as commons (we were unable to deal with the pandemic partly because Bill Gates prevented Oxford from open sourcing their work on COVID [3]). We need software that can compose scientific models [4], and organizations that can facilitate greater coordination among scientists. Science will become all the more important in an increasingly uncertain world, but are we up to the task?
[1] https://www.science.org/content/article/frustrated-science-s...
[1] https://numfocus.org/open-source-science-initiative-ossci
[2] https://www.wired.com/story/opinion-the-world-loses-under-bi...
[3] https://www.algebraicjulia.org/
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Anyone know whether the source for cl-cat: a DSEL for computational category theory is publicly available?
Thank you for replying, but what prevents you from releasing your code? Dr Rydeheard has shared the StandardML version from his book (and the book). Of course if you don't want to share your code that is your prerogative and that is fine, but I am just trying to understand the issue that is preventing you a little more clearly. My interest in your implementation is strictly one of personal education. With applied category theory becoming more popular and computing implementations often used for teaching purposes (e.g. this book ) I would like to see a lisp implementation. It is built into Haskell, mostly, and people are developing libraries for Idris and Julia. I would find it instructive to see the implementation in common-lisp. Thank you for taking the time to respond to my original question.
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From Julia to Rust
The biggest group outside of numerical computing in Julia land are the PL and systems people though? This includes type theorists [1], database folks [2], distributed systems people ([3] to name just one). There are also a fair number of compiler nuts, hence the existence of multiple projects [4][5] in this space. And this is before getting into things that bridge more than one of the domains above, e.g. [7] or [8].
FTR, I think it's fair to question whether numerical computing should have an outsized influence on the direction of the language. I also think it's a pretty fair comparison to point out how standardized and consistent the Rust governance process is compared to Julia's (the Rust RFC system is an exemplar here). That doesn't mean there is a dearth of PL and systems knowledge in the Julia community though.
[1] https://github.com/AlgebraicJulia/Catlab.jl
JET.jl
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Prospects of utilising Rust in scientific computation?
An informative discussion on julia forum. Have you tried using https://github.com/aviatesk/JET.jl to minimize type instabilities?
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Julia v1.9.0 has been released
For instance, https://github.com/aviatesk/JET.jl is still in its relative infancy, but it's played a big role in detecting quite a few potential bugs that had never been reported to use by users or caught in our testing infrastructure. There's also been a lot developments like interfaces to RR the time travelling debugger https://rr-project.org/ which helps us better understand and catch some very hard to debug non-deterministic bugs.
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Julia Computing Raises $24M Series A
Have you seen Shuhei Tadowaki's work on JET.jl (?)
If you're curious: https://github.com/aviatesk/JET.jl
This may seem more about performance (than IDE development) but Shuhei is one of the driving contributors behind developing the capabilities to use compiler capabilities for IDE integration -- and indeed JET.jl contains the kernel of a number of these capabilities.
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I Hate Programming Language Advocacy (2000)
This is sort of being done right now, as dynamic languages have begun to adopt gradual typing... at least Python and Julia, that I know of.
If something like [JET.jl](https://github.com/aviatesk/JET.jl) become ubiquitous in Julia, one could add a function that pointed out all the places in the code where types are not fully inferred by the compiler.
It'll never be quite the same level of safety as a static language, however.
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From Julia to Rust
- Pattern matching (sometimes you don't want the overhead of a method lookup)
[1]: https://github.com/aviatesk/JET.jl
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Julia is the best language to extend Python for scientific computing
You can use the `@code_warntype` macro to check for type stability, which is very helpful for detecting such performance pitfalls on single function level. In the future, https://github.com/aviatesk/JET.jl may give a more powerful way to do it.
- Jet.jl: experimental type checker for Julia
- Jet.jl: A WIP compile time type checker for Julia
What are some alternatives?
StaticArrays.jl - Statically sized arrays for Julia
julia - The Julia Programming Language
egg - egg is a flexible, high-performance e-graph library
Enzyme.jl - Julia bindings for the Enzyme automatic differentiator
Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
Juleps - Julia Enhancement Proposals
MacroTools.jl - MacroTools provides a library of tools for working with Julia code and expressions.
HTTP.jl - HTTP for Julia
Symbolics.jl - Symbolic programming for the next generation of numerical software
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia