pypickle 2.0.1

pypickle is a Python library to save and load variables in pickle files.

pypickle

pypickle is a user-friendly Python library for saving and loading data using the pickle format. Unlike the standard pickle module, pypickle puts safety first—offering built-in validation, extension checks, and protection against common exploits. Whether you're persisting models, storing session data, or sharing files, pypickle makes serialization easy and more secure. Ideal for developers who care about both convenience and peace of mind. ⭐️ Star it if you like it ⭐️

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Key Features

Feature	Description
Load	Load your pickle files.
Save	Save your files into pickle format.
is_critical_path	Check whether filepath is critical.
get_critical_paths	Get critical paths.
get_risk_modules	Get risk modules.
get_allowed_paths	Get allowed paths.

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For security reasons, pickle files are validated by checking the inner modules before loading. Twenty modules are classified as high-risk (see here) and can not be loaded without validation.

Module Type	Allowed?	How to Change Behavior
Unknown	✅	Allowed unless in high-risk list
Custom safe	✅	If included in validate param
Risky (os, etc.)	❌	Must be explicitly added via validate=['nt'] or validate=False

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Resources and Links

• Documentation: Website
• Bug Reports and Feature Requests: GitHub Issues

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Install pypickle from PyPI

pip install pypickle     # normal install
pip install -U pypickle  # update if needed

Import pypickle package

import pypickle

Example: Saving

import pypickle
filepath = 'test.pkl'

# Some data
data = [1,2,3,4,5]

# Save
status = pypickle.save(filepath, data)

Example: Loading

# Load file
data = pypickle.load(filepath)

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Contributors

Setting up and maintaining bnlearn has been possible thanks to users and contributors. Thanks to:

Maintainer

• Erdogan Taskesen, github: erdogant
• Contributions are welcome.
• Yes! This library is entirely free, but it runs on coffee! :) Feel free to support with a Coffee.