livebook
interactive
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livebook | interactive | |
---|---|---|
80 | 48 | |
4,390 | 2,743 | |
3.1% | 2.3% | |
9.8 | 9.6 | |
7 days ago | 7 days ago | |
Elixir | C# | |
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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Super simple validated structs in Elixir
To get started you need a running instance of Livebook
- Arraymancer – Deep Learning Nim Library
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Setup Nx lib and EXLA to run NX/AXON with CUDA
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.
1: https://livebook.dev/
- Livebook: Automate code and data workflows with interactive notebooks
interactive
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Exploratory Data Analysis with F#, Plotly.NET, and ML.NET DataFrames
All of this will be accomplished inside of a single Polyglot Notebook. If you're not familiar with Polyglot Notebooks, they're a technology built on top of Jupyter Notebooks that allow you to use additional language kernels, including a F# Kernel. This lets you run interactive data science experiments in a single notebook as shown here in VS Code:
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.NET 8 Standalone 50% Smaller On Linux
I use .NET on Linux and the experience with Rider has been great. The workflow transfers really well between Mac, Windows, and Linux, and everything works the way you expect. The only problems I run into are that there are still things that are Windows focused. For example MAUI does not run on Linux which is a shame because we could use another cross platform GUI.
There are still bugs, for example I ran into one with Polyglot Notebooks not working on Manjaro or Pop!_OS https://github.com/dotnet/interactive/issues/3159
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Importing Code in Polyglot Notebooks
First of all, if you have a small amount of code that lives in an individual C# file and you wanted to reference it in your notebook, you can do this via the #!import magic command as shown below:
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How can I authenticate against Azure Artifacts from Jetbrains Rider?
My 2 cents: use a Personal Access Token instead of a password, it is much safer (even though not 100% safe). Some references: https://github.com/dotnet/interactive/discussions/1340 https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate
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Announcing Polyglot Notebooks! Multi-language notebooks in Visual Studio Code - .NET Blog
See also https://github.com/dotnet/interactive
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Getting work done with PowerShell on Linux
U have Powershell notebooks https://github.com/dotnet/interactive
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Argue in comments 💅
Or Rider or simply install dotnet by itself (very easy) and code in a notepad or VSCode. .NET interactive is another awesome way to start: https://github.com/dotnet/interactive/blob/main/docs/display-output-csharp.md
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Jupyterlab Desktop
Hi! My name is Claudia and I am a PM at Microsoft (opinions are my own) working on Polyglot Notebooks in VS Code. Polyglot Notebooks are exactly what you are describing! They are notebooks where you can use multiple languages AND share variables between them to ensure a continuous workflow. Not only that, but each language has language server support. Polyglot Notebooks currently supports C#, F#, PowerShell, JavaScript, HTML, SQL, KQL, and Mermaid.
We have just added support for Python and R integration and I am actually in search of external testers! If you are willing to sign an NDA to try out our Python and R integration and give us feedback please drop your email in the form below and I will reach out with instructions for you to try it out!
https://forms.office.com/r/UQchfQSGa5
If you'd like to start trying it out today you can install the extension from the marketplace here: https://marketplace.visualstudio.com/items?itemName=ms-dotne...
https://github.com/dotnet/interactive
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Does anyone have any experience using ML.NET for forecasting?
I've been excited about a lot of the work being done in .NET Interactive and Polyglot Notebooks, particuarly with ML with F#. I don't know too much about ML, so I thought I'd check out ML.NET.
- Run C# Straight from Command line! (C# REPL)
What are some alternatives?
kino - Client-driven interactive widgets for Livebook
Plotly.NET - interactive graphing library for .NET programming languages :chart_with_upwards_trend:
awesome-advent-of-code - A collection of awesome resources related to the yearly Advent of Code challenge.
spectre.console - A .NET library that makes it easier to create beautiful console applications.
Genie.jl - 🧞The highly productive Julia web framework
obsidian-jupyter
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
SharpLab - .NET language playground
axon - Nx-powered Neural Networks
jupyter - An interface to communicate with Jupyter kernels.
desktop - Building native-like Elixir apps for Windows, MacOS, Linux, iOS and Android using Phoenix LiveView!
AngouriMath - New open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.