livebook
Genie.jl
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livebook | Genie.jl | |
---|---|---|
78 | 21 | |
4,331 | 2,172 | |
3.6% | 1.9% | |
9.8 | 8.7 | |
1 day ago | 3 days ago | |
Elixir | Julia | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
livebook
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Setup Nx lib and EXLA to run NX/AXON with CUDA
git clone https://github.com/livebook-dev/livebook.git cd livebook mix deps.get --only prod # Run the Livebook server MIX_ENV=prod mix phx.server
LiveBook site
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Interactive Code Cells
I prefer functional programming with Livebook[1] for this type of thing. Once you run a cell, it can be published right into a web component as well.
[1] - https://livebook.dev
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What software should I use as an alternative to Microsoft OneNote?
If you're a coder, Livebook might be worth a look too. I certainly have my eyes on it.
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Advent of Code Day 5
Would highly recommend looking at Jose's use of livebook to answer these. It makes testing easier. It's old but still relevant. Video link inside
- Advent of Code 2023 is nigh
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Racket branch of Chez Scheme merging with mainline Chez Scheme
That's hard to say. Racket is a rather complete language, as is F# and Elixir. And F# and Racket are extremely capable multi-paradigm languages, supporting basically any paradigm. Elixir is a bit more restricted in terms of its paradigms, but that's a feature oftentimes, and it also makes up for it with its process framework and deep VM support from the BEAM.
I would say that the key difference is that F# and Elixir are backed by industry whereas Racket is primarily backed via academia. Thus, the incentives and goals are more aligned for F# and Elixir to be used in industrial settings.
Also, both F# and Elixir gain a lot from their host VMs in the CLR and BEAM. Overall, F# is the cleanest language of the three, as it is easy to write concise imperative, functional, or OOP code and has easy asynchronous facilities. Elixir supports macros, and although Racket's macro system is far more advanced, I don't think it really provides any measurable utility over Elixir's. I would also say that F# and Elixir's documentation is better than Racket's. Racket has a lot of documentation, but it can be a little terse at times. And Elixir definitely has the most active, vibrant, and complete ecosystem of all three languages, as well as job market.
The last thing is that F# and Elixir have extremely good notebook implementations in Polyglot Notebooks (https://marketplace.visualstudio.com/items?itemName=ms-dotne...) and Livebook (https://livebook.dev/), respectively. I would say both of these exceed the standard Python Jupyter notebook, and Racket doesn't have anything like Polyglot Notebooks or Livebook. (As an aside, it's possible for someone to implement a Racket kernel for Polyglot Notebooks, so maybe that's a good side project for me.)
So for me, over time, it has slowly whittled down to F# and Elixir being my two languages that I reach for to handle effectively any project. Racket just doesn't pull me in that direction, and I would say that Racket is a bit too locked to DrRacket. I tried doing some GUI stuff in Racket, and despite it having an already built framework, I have actually found it easier to write my own due to bugs found and the poor performance of Racket Draw.
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Runme – Interactive Runbooks Built with Markdown
This looks very similar to LiveBook¹. It is purely Elixir/BEAM based, but is quite polished and seems like a perfect workflow tool that is also able to expose these workflows (simply called livebooks) as web apps that some functional, non-technical person can execute on his/her own.
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Elixir Livebook is a secret weapon for documentation
For linux the easiest way to download livebook is with docker [1] or maybe with fly.io [2].
Installing it directly is a bit complicated if you are not familiar with it. I wish linux also had Desktop app like mac.
Genie.jl
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Tidyverse 2.0.0
Julia seems to be doing a better job catching up to R in this space than Python. I haven't used it personally, but the demos of Genie Framework are impressive: https://github.com/GenieFramework/Genie.jl / https://genieframework.com/
- Help With Next Language Decision
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Beginner's Series to Rust
Yep, I'm a PHP dev and often do simple JS/jQuery to support my backend code. I have a very general interest in data science and embedded programming, meaning one day I might start doing something with them, but for now, I'm interested in those languages for web development. The following frameworks were especially interesting
Go: https://github.com/gin-gonic/gin
Rust: https://rocket.rs/
Julia: https://genieframework.com/
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Plotting in a GUI with Julia
Check Genie. They're working on an app builder called Genie Cloud.
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Hacker News top posts: Apr 6, 2022
GenieFramework – Build web applications with Julia\ (19 comments)
- GenieFramework – Web Development with Julia
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is julia good for web dev?
try this framework - https://github.com/genieframework/Genie.jl
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building web apps in Julia
Are you sure you visited the right Genie.jl repo? Cause it's last commit was 9 days ago and it's last version (2.0.1) was released 9 days ago too.
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Livebook: A collaborative and interactive code notebook for Elixir
Julia has a web framework too of course. https://genieframework.com/
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Symbolics.jl: A Modern Computer Algebra System for a Modern Language
People definitely have used PyCall in production.
Julia at this point covers everything in NumPy, SciPy and much more. For optimization, bayesian stuff, scientific, and the convergence of the above with ML, it's far ahead- https://sciml.ai/
Even has relatively mature web frameworks (https://github.com/GenieFramework/Genie.jl)
What are some alternatives?
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
PlutoSliderServer.jl - Web server to run just the `@bind` parts of a Pluto.jl notebook
Visual Studio Code - Visual Studio Code
PackageCompiler.jl - Compile your Julia Package
kino - Client-driven interactive widgets for Livebook
awesome-advent-of-code - A collection of awesome resources related to the yearly Advent of Code challenge.
Revise.jl - Automatically update function definitions in a running Julia session
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
cmssw - CMS Offline Software
Pluto.jl - 🎈 Simple reactive notebooks for Julia
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications