Yashalyze
Yashalyze is a lightweight Python library for automatic exploratory data analysis of pandas DataFrames.
Features
- Dataset shape analysis
- Column type detection
- Missing value analysis
- Duplicate detection
- Memory usage
- Numeric statistics
- Unique value analysis
- Data quality score
- Outlier detection using IQR
- Correlation analysis
- Automatic visualizations
Installation
pip install yashalyze
1 maintainer
Metadata
1 maintainer
Release files for yashalyze 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 | Actions |
|---|---|---|---|---|
| yashalyze-0.1.0.tar.gz | 3.8 kB | Without provenance | Details for yashalyze-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| yashalyze-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for yashalyze-0.1.0-py3-none-any.whl |
Total release size: 8.2 kB
Release files / yashalyze-0.1.0.tar.gz
| Download URL | yashalyze-0.1.0.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / yashalyze-0.1.0-py3-none-any.whl
| Download URL | yashalyze-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.5 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/7.0.0 CPython/3.14.4
|
Security for yashalyze 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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