🐞 Bug fix release incoming 🐛 Version 0.10.1 of skrub is now live! In this release, we fixed a Cloudpickle import error that could be triggered by some updated dependencies, along with some other improvements. Release post: github.com/skrub-data/s... 1/4

Release 0.10.1 · skrub-data/skrub

🌟 Skrub 0.10.1 has been released 🌟 Main features When a cross-validation splitter has been passed to .skb.mark_as_X(), it it now possible to select a specific split from it when calling .skb.train...

github.com

✨ Skrub version 0.10.0 has been released ✨ This is one of our biggest releases yet, with new transformers, improvements to the TableReport and the Data Ops, bug fixes and polishing of the docs. github.com/skrub-data/s... 🚀 Highlights below

Release 0.10.0 · skrub-data/skrub

✨ Skrub version 0.10.0 has been released ✨ Main Changes New transformers are now available: SessionEncoder groups timestamped data by sessions, DropSimilar helps with dropping redundant columns. T...

github.com

✨ Skrub version 0.9.0 has been released ✨ This release adds some advanced features to the Data Ops, the has_dtype() selector, as well as some clarity improvements for the Cleaner and TableReport. Release post: github.com/skrub-data/s...

Release 0.9.0 · skrub-data/skrub

✨ Skrub version 0.9.0 has been released ✨ Main changes Scorers used by Data Ops can now take additional arguments (like sample weights). By @jeromedockes in #1995 The new methods .skb.find() and ....

github.com

✨ skrub version 0.8.0 has been released ✨ This version includes several new features, including multiple improvements to the functionality and performance of the Data Ops, along with a few bug fixes and improvements to the docs. Changelog: skrub-data.org/stable/CHANG... Highlights below ⤵️

As a follow-up, we would like to clarify how we’ll be crediting contributors moving forward. Currently, all contributions to the repository are tracked in the changelog and highlighted in the release notes, where each PR and the GitHub handle of its author are listed.

Skrub@skrub-data.bsky.social · 7mo ago

Thanks to e-strauss for writing this example!

While skrub Data Ops shine when preparing dataframes, their capabilities extend beyond that. For example, they can be used alongside libraries like PyTorch and skorch to work with images, and tune the model size to find the best set of hyperparameters: skrub-data.org/stable/auto_...

✨ skrub version 0.7.2 has been released ✨ In this release we squashed more bugs, improved the API reference, and added a new example. github.com/skrub-data/s...

Release Skrub release 0.7.2 · skrub-data/skrub

✨ skrub version 0.7.2 has been released ✨ In this release we squashed more bugs, improved the API reference, and added a new example. Main changes: The StringEncoder now exposes the vocabulary par...

github.com

Did you know that the skrub Data Ops support Optuna as backend to run hyperparameter search? It's as easy as writing "backend='optuna'": this will set up a default Optuna study (and the TPE sampler) to replace the standard random sampler.

Happy new year! 🎉🎉🎉 Let's celebrate 2026 with a bugfix release that implements some fixes, brings some documentation improvements and adds a new dataset fetcher: github.com/skrub-data/s...

Do you want to learn how to use skrub like a pro? Then you're in luck! Inria Academy is providing an introductory course on skrub aimed at IT personnel, engineers, data scientists, and data analysts. www.inria-academy.fr/formation/sk...

skrub like a pro: clean, prepare, and transform your data faster - Inria Academy

inria-academy.fr

The recording of the talk we did at @pydataparis.bsky.social 2025 is now available on the PyData Youtube channel! 🚀 You can find it here, if you want to check it out 👀 www.youtube.com/watch?v=k9MN...

Skrub: machine learning for dataframes

YouTube video by PyData

youtube.com

Skrub 0.7.0 is here! 🎉 ✨ Main highlights: - Tune hyperparameter choices with Optuna - Added support for Pandas 3.0 - Estimators in data ops can now take additional kwargs 16 new contributors helped with this release 👥 Check out the full changelog: github.com/skrub-data/s...

Release Skrub release 0.7.0 · skrub-data/skrub

Release 0.7.0 ✨ Highlights Data Ops can now be tuned with Optuna. It is now possible to pass extra named arguments to an estimator through DataOps.skb.apply. The TableReport now supports numpy arr...

github.com

@skrub-data.bsky.social: better data-science primitives for clean code on dataframes Watch my dotAI talk, it's fun (live coding)! www.youtube.com/watch?v=bQS4... skrub really makes it easy to do machine learning with dataframes

Clean code in Data Science - Gael Varoquaux - Skrub DataOps, Probabl:

YouTube video by dotconferences

youtube.com

Skrub includes a powerful set of transformers and selectors that allow to transform columns based on various conditions. ApplyToCols lets you select a subset of columns in your dataframe, then applies a transformer to each selected column separately.

On vous a déjà dit que Skrub c'est cool ? Et que l'intervention de @riccardocappuzzo.com était très chouette ? Hein, on vous l'a dit ? skrub-data.org/skrub-materi...

Skrub@skrub-data.bsky.social · 11mo ago

@pydataparis.bsky.social 2025 is over, and it was a big success! Our talk was very well received, and we got a lot of great questions, especially about scalability and how to interface with other libraries in production environments.

@pydataparis.bsky.social 2025 is over, and it was a big success! Our talk was very well received, and we got a lot of great questions, especially about scalability and how to interface with other libraries in production environments.

What a banger is skrub @skrub-data.bsky.social ! Big thumbs up for the sklearn team & the maintainer of this package

📅 Less than a week away! The talk will be on Oct 1st at 10.05AM in room Louis Armand 1 - Est. If you want to contribute to skrub, we will also have a sprint on Thursday. See you there!

Compute! Paris@computeparis.bsky.social · last yr.

📢 Talk Announcement "Skrub: machine learning for dataframes", by Guillaume Lemaitre, Jérôme Dockès and @riccardocappuzzo.com. @skrub-data.bsky.social 📜 Talk info: pretalx.com/pydata-paris-2025/talk/T9KTPU 📅 Schedule: pydata.org/paris2025/schedule 🎟 Tickets: pydata.org/paris2025/tickets

⚡ Release 0.6.2 is out ⚡ github.com/skrub-data/s...

Release 0.6.2 · skrub-data/skrub

New features The DataOp.skb.full_report() now displays the time each node took to evaluate. #1596 by Jérôme Dockès. The User guide has been reworked and expanded. Changes and deprecations Ken em...

github.com

Reminder: skrub == cool

Skrub@skrub-data.bsky.social · last yr.

skrub DataOps help you construct complex and extensive hyperparameter search spaces. However, interpreting results from large grids can be challenging. To address this, skrub generates a parallel coordinate plot that visualizes all runs and the parameters used to achieve specific results.

skrub DataOps help you construct complex and extensive hyperparameter search spaces. However, interpreting results from large grids can be challenging. To address this, skrub generates a parallel coordinate plot that visualizes all runs and the parameters used to achieve specific results.

Do you have to deal with numerical features that involve large outliers, and need to train linear models or neural networks? Then you might want to try the skrub SquashingScaler. The SquashingScaler behaves like scikit-learn RobustScaler, but smoothly clips outliers to predefined boundaries.

Our first talk tonight is from @gaelvaroquaux.bsky.social on @skrub-data.bsky.social. Real tables are too messy for sklearn - skrub preprocesses them for you.

Had a great PyData London tonight! Was a real treat to hear from @gaelvaroquaux.bsky.social on @skrub-data.bsky.social and the real world data pains its solving. (Try it if you haven’t already; super easy to get going!)

PyData London@pydatalondon.bsky.social · last yr.

Our first talk tonight is from @gaelvaroquaux.bsky.social on @skrub-data.bsky.social. Real tables are too messy for sklearn - skrub preprocesses them for you.

⚡Maintenance release ⚡ Release 0.6.1 fixes a bug that may happen when combining certain column-based skrub transformers with the scikit-learn ColumnTransformer. github.com/skrub-data/s...

Release Skrub release 0.6.1 · skrub-data/skrub

Bugfixes get_feature_names_out now works correctly when used by GapEncoder, DropCols, SelectCols: from within a scikit-learn Pipeline. In addition, DropCols’s get_feature_names_out method now retu...

github.com

We had a great tutorial at #EuroScipy2025! We had the opportunity of showing off the features of skrub to a wide audience, and show how they can be used in a pretty complex use case.

Olivier Grisel@ogrisel.bsky.social · last yr.

Attending the @skrub-data.bsky.social tutorial by @riccardocappuzzo.com and @glemaitre58.bsky.social at #EuroScipy2025. They introduce the new DataOps feature released in skrub 0.6. Here is the repo with the material for the tutorial: github.com/skrub-data/E...

⚡ Release 0.6.0 is now out! ⚡ 🚀 Major update! Skrub DataOps, various improvements for the TableReport, new tools for applying transformers to the columns, and a new robust transformer for numerical features are only some of the features included in this release.

📅 The skrub API includes various functions and objects that help with dealing with datetime strings. 1/

🚀⚡ Release: 0.5.4: Maintenance release! This release makes skrub compatible with scikit-learn 1.7. Changelog: skrub-data.org/stable/CHANG...

👀 This week's post will be another sneak peek into skrub expressions, an upcoming feature that will ease the preparation and execution of machine learning pipelines on dataframes. This time we will focus on how expressions can simplify the construction of complex hyperparameter grids.