panelyze 0.1.0

An interactive, Excel-like DataFrame viewer for Jupyter

Panelyze

Panelyze is an interactive, Excel-like DataFrame viewer for Python built on top of itables and ipywidgets. It allows users to explore, filter, and inspect pandas DataFrames directly inside Jupyter Notebooks or Google Colab — with no need to write filtering logic or export to Excel.

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Key Features

• ✅ Interactive DataFrame preview with scrollable, sortable, and searchable table
• ✅ Column-level filtering with dropdowns or text input
• ✅ Missing value inspector — show only rows with NaN values
• ✅ Integrated column selector with “Select All” toggle
• ✅ Optimized for JupyterLab, Google Colab, and VS Code Notebooks
• ✅ Zero configuration — just import and run

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Installation

Install from PyPI:

pip install panelyze

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Usage

from panelyze import panelyze
import pandas as pd

# Load your data
df = pd.read_csv("your_data.csv")

# Launch the interactive panel
panelyze(df)

No need to export to Excel — just scroll, sort, filter, and inspect directly inside your notebook.

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Requirements

Panelyze depends on the following Python packages:

• pandas
• itables
• ipywidgets
• IPython

These will be installed automatically with pip.

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License

This project is licensed under the MIT License.

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Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve functionality, performance, or documentation.

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Related Projects

• pandas-profiling — automated EDA for pandas
• sweetviz — visualized data comparison and exploration
• itables — interactive pandas tables via DataTables.js

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Made with ❤️ for the data science community.