auto_lm - Advanced Automated EDA Library
auto_lm is a powerful Python library for automated Exploratory Data Analysis (EDA) that provides comprehensive statistical analysis with just a few lines of code.
🚀 Features
- Comprehensive Analysis: Univariate, Multivariate, Correlation, and Causation analysis
- Statistical Tests: Normality tests, ANOVA, Chi-square, and more
- Automated Insights: Detect outliers, multicollinearity, and data quality issues
- Beautiful Output: Results displayed in customized, easy-to-read tables
- Google Colab Ready: Works seamlessly in Google Colab environments
- Target Analysis: Special analysis for supervised learning scenarios
📦 Installation
pip install auto_lm
1 maintainer
Metadata
1 maintainer
Release files for auto-lm 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 |
|---|---|---|---|---|
| auto_lm-0.1.0.tar.gz | 8.7 kB | Without provenance | Details for auto_lm-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| auto_lm-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for auto_lm-0.1.0-py3-none-any.whl |
Total release size: 17.0 kB
Release files / auto_lm-0.1.0.tar.gz
| Download URL | auto_lm-0.1.0.tar.gz |
|---|---|
| Size | 8.7 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.0
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Release files / auto_lm-0.1.0-py3-none-any.whl
| Download URL | auto_lm-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.3 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/3.9.0
|
Security for auto-lm 0.1.0
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