panelyze 0.2.0

An interactive, spreadsheet-style DataFrame viewer for Jupyter

Panelyze

Panelyze is an interactive, spreadsheet-style DataFrame viewer for Python. Built on top of itables and ipywidgets, it enables users to explore, filter, and inspect pandas DataFrames directly inside Jupyter Notebooks, Google Colab, or VS Code Notebooks — without writing filtering logic or switching to external tools.

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Key Features

• Interactive DataFrame display with scrollable, sortable, and searchable tables
• Column-level filtering via dropdowns or text input
• Missing value inspector for quickly isolating rows containing NaN values
• Integrated column selector with “Select All” toggle
• Notebook-native interface, optimized for JupyterLab, Google Colab, and VS Code
• Zero configuration — simply import and view your data

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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)

Inspect, sort, filter, and explore your DataFrame directly within your notebook environment.

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Requirements

Panelyze depends on the following Python packages:

• pandas
• itables
• ipywidgets
• IPython

These will be installed automatically when using pip.

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License

This project is licensed under the MIT License.

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Contributing

Contributions are welcome. Please 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.