swift-jupyter
rapaio-jupyter-kernel
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swift-jupyter | rapaio-jupyter-kernel | |
---|---|---|
1 | 3 | |
22 | 37 | |
- | - | |
0.0 | 7.6 | |
over 1 year ago | about 1 month ago | |
Jupyter Notebook | Jupyter Notebook | |
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.
swift-jupyter
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Library for interpreting Swift code?
Also, check out swift-jupyter and Swift Colab for how to use repl-swift: https://github.com/liuliu/swift-jupyter https://github.com/philipturner/swift-colab
rapaio-jupyter-kernel
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Java kernel for Jupyter - update
I raised a new release. This time I tried to provide a simple, but powerful enough way to handle dependency management. Details can be found here: https://github.com/padreati/rapaio-jupyter-kernel/blob/main/DEPENDENCY-MANAGEMENT.md
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Java notebook for Jupyter
You are absolutely right. I was too aggresive in including incubator modules not available for version 17. See: https://github.com/padreati/rapaio-jupyter-kernel/issues/26
What are some alternatives?
flight-delay-notebooks - Analyzing flight delay and weather data using Elyra, IBM Data Asset Exchange, Kubeflow Pipelines and KFServing
htmx - </> htmx - high power tools for HTML
swift-colab - Swift kernel for Google Colaboratory
S01E155-improving-performance - Sample code for Swift Talk episode 155: Markdown Playgrounds — Improving Performance
retrolab - JupyterLab distribution with a retro look and feel 🌅
data-science-portfolio - Data Science Portfolio website created with Jupyter notebooks and Mercury
awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
AMAYARA-Lab - The アマヤラ Lab project provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules.
jbang - Unleash the power of Java - JBang Lets Students, Educators and Professional Developers create, edit and run self-contained source-only Java programs with unprecedented ease.
mima - Minimal Maven reusable one-stop shop library