semvec/pypi-packages huggingface dataset:
scCAMEL 0.45b0
scCAMEL: single cell Cross- Annotation and Multimodal Estimation on Lineage trajectory;License: GPL version 3;Developed by: Yizhou Hu, Department of Laboratory Medicine, Karolinska Institutet;Tutorials and other informations in :https://sccamel.readthedocs.io/
Requires Python: >=3.8

scCAMEL: single cell Cross- Annotation and Multimodal Estimation on Lineage trajectory

License: GPL version 3
https://pypi.org/project/scCAMEL/

Developed by: Yizhou Hu, Department of Laboratory Medicine, Karolinska Institutet

Tutorials and other informations in :
https://sccamel.readthedocs.io/
autoeda-sujay 0.1.0
Automated exploratory data analysis with one function call
Requires Python: >=3.7

# AutoEDA - Automated Exploratory Data Analysis

One function call for comprehensive data analysis and visualization.

## Installation

### Local Development Installation

\`\`\`bash
# Clone or download this project
# Navigate to the project directory
cd autoeda-library

# Install in development mode
pip install -e .
\`\`\`

## Quick Start

```python
import pandas as pd
import autoeda

# Load your data
df = pd.read_csv('your_data.csv')

# One function call does everything!
report = autoeda.analyze(df)

# View summary
report.show_summary()

# Generate visualizations
report.plot_missing_data()
report.plot_distributions()
report.plot_correlation_matrix()