skrub
skrub is a Python library that facilitates machine learning with dataframes.
If you like the package, spread the word and ⭐ this repository! You can also join the Discord server.
Website: https://skrub-data.org/
See our examples, or check out the learning materials.
Documentation and examples are bundled with the package itself, in skrub/_docs. After installing, you can find it at:
import skrub
print(skrub.__docs_dir__)Installation
skrub can easily be installed via pip or conda. For more installation information, see the installation instructions.
Contributing
The best way to support the development of skrub is to spread the word!
Also, if you already are a skrub user, we would love to hear about your use cases and challenges in the Discussions section.
To report a bug or suggest enhancements, please open an issue.
If you want to contribute directly to the library, then check the how to contribute page on the website for more information.
Citing skrub
If you use skrub in a scientific publication, please cite it via the [Zenodo record](https://doi.org/10.5281/zenodo.22231586).
7 maintainers
Metadata
7 maintainers
Release files for skrub 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| skrub-0.11.0.tar.gz | 4.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skrub-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.0 MB
Release files / skrub-0.11.0.tar.gz
| Download URL | skrub-0.11.0.tar.gz |
|---|---|
| Size | 4.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.5
|
Release files / skrub-0.11.0-py3-none-any.whl
| Download URL | skrub-0.11.0-py3-none-any.whl |
|---|---|
| Size | 802.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.5
|
