AutoClean 🧹
AutoClean is an automated data cleaning library for pandas DataFrames.
It intelligently detects column types, handles missing values, removes outliers,
drops useless columns, and generates a clear before/after report.
Built for data scientists, ML engineers, and students who want clean data in one line.
✨ Features
- Automatic column standardization
- Intelligent data type detection (numerical, categorical, datetime)
- Missing value handling with smart strategies
- Outlier detection & removal (IQR-based)
- Constant & empty column removal
- Before/After cleaning report
- Configurable & extensible pipeline
🚀 Installation (Local / Dev)
pip install .
1 maintainer
Metadata
1 maintainer
Release files for autoclean-ds 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| autoclean_ds-0.1.0.tar.gz | 6.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autoclean_ds-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.6 kB
Release files / autoclean_ds-0.1.0.tar.gz
| Download URL | autoclean_ds-0.1.0.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / autoclean_ds-0.1.0-py3-none-any.whl
| Download URL | autoclean_ds-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for autoclean-ds 0.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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