https://github.com/sylvaincom/skore_demo

My demos of the skore python library that I co-maintain, as well as skrub.
https://github.com/sylvaincom/skore_demo

Last synced: 9 months ago
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My demos of the skore python library that I co-maintain, as well as skrub.

• Host: GitHub
• URL: https://github.com/sylvaincom/skore_demo
• Owner: sylvaincom
• Created: 2025-04-23T15:09:01.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-07-08T13:19:01.000Z (12 months ago)
• Last Synced: 2025-07-08T14:32:38.807Z (12 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 254 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# skore and skrub demo

> For the Skore Hub demo, visit https://github.com/probabl-ai/skore-demo-project

My demos of the skore python library that I co-maintain (a.k.a. Skore Lib), as well as skrub.

Links:

- skore: [GitHub repository](https://github.com/probabl-ai/skore), [documentation](https://skore.probabl.ai/), [demo videos](https://youtube.com/playlist?list=PLSIzlWDI17bTpixfFkooxLpbz4DNQcam3)

- skrub: [GitHub repository](https://github.com/skrub-data/skrub), [documentation](https://skrub-data.org/stable/)

- [Get to know Probabl](https://probabl.notion.site/Get-to-know-Probabl-127ef76d36b9804d8ca8e264e42f0cee)

- Contact: [Sylvain Combettes](https://www.linkedin.com/in/sylvain-combettes/) at `sylvain@probabl.ai`

## Setup

Execute the following bash commands:

```bash

python -m venv .venv

source .venv/bin/activate

pip install -r requirements.txt

```

*Note*: For now, I have fixed the version of skore to v0.9.2 in `requirements.txt`.

The latest version is:

[![pypi](https://img.shields.io/pypi/v/skore)](https://pypi.org/project/skore/)

## Using this repo

The `demo.ipynb` notebook is already executed.

You can visualize a static version of this notebook on [nbviewer](https://nbviewer.org/github/sylvaincom/skore_demo/blob/main/demo.ipynb).

## Recommended resources

- Probabl: présentation des librairies skore et skrub [[YouTube video](https://www.youtube.com/live/cy4cDEHX4-E?si=o0ex01Uv35qNJrj_&t=1662)] → Probabl presentation and Skore Lib demo by Sylvain Combettes at a seminar of the CNRS in April 2025, in French, from 27:42 to 58:47 including Q&A. It uses skore v0.8.2.

-   Developments in the Scikit-Learn Ecosystem: Going Beyond `.fit(X, y).predict(X)` [[YouTube video](https://www.youtube.com/live/0AdocmpDr84?si=65jvUhz81_cOYmcA&t=450)] → great talk by Probablrs at PyData Milano in March 2025, presenting scikit-learn, skrub, skops, and skore.

    

    Toggle for the timeline of the video!

    0:00 - 7:30 → general introduction of PyData Milan


    7:30 - 9:25 → brief presentations of Guillaume Lemaitre and Marie Sacksick from Probabl


    9:25 - 21:15 → What scikit-learn allows you to do


    21:15 - 32:54 → skrub - less wrangling, more machine learning


    32:54 - 43:51 → skops - scikit-learn models in production


    43:51 - 52:05 → skore - an abstraction to ease data science projects