pickle5 backport for older Python
pickle5 is a backport of the pickle protocol 5 (PEP 574) and other related changes, primarily for Python versions prior to 3.8. It provides the performance improvements and features of protocol 5 for Python 3.5, 3.6, and 3.7. The library is currently at version 0.0.12 and is no longer actively maintained, as its purpose has been superseded by native support in Python 3.8+.
Common errors
-
ModuleNotFoundError: No module named 'pickle5'
cause The `pickle5` library has not been installed in your Python environment.fixInstall the library using pip: `pip install pickle5` -
ERROR: Package 'pickle5' requires a different Python version: 3.x.x but '>=3.5,<3.8' was specified.
cause You are attempting to install `pickle5` on a Python version that is not supported by the library. `pickle5` is explicitly designed for Python 3.5-3.7.fixIf your Python version is 3.8 or newer, `pickle5` is not needed; use the standard `import pickle` module instead. If you must use `pickle5`, you need to use a compatible Python environment (3.5-3.7).
Warnings
- breaking Installing `pickle5` on Python 3.8 or newer will fail due to `python_requires` constraints. If forcefully installed (e.g., via `pip install --no-deps` on an unsupported Python version), it can lead to subtle runtime issues, conflicts with the built-in `pickle` module, and unpredictable behavior, as Python 3.8+ already natively supports pickle protocol 5.
- gotcha The `pickle5` library is only necessary for Python versions 3.5, 3.6, and 3.7 to access pickle protocol 5. For Python 3.8 and all subsequent versions, protocol 5 is part of the standard `pickle` library and `pickle5` offers no additional functionality.
- deprecated The `pickle5` library is no longer actively maintained as its primary use case (backporting protocol 5) has been superseded by native Python versions. Relying on an unmaintained backport for critical serialization can introduce risks.
Install
-
pip install pickle5
Imports
- pickle5
import pickle5
- dump
from pickle import dump
from pickle5 import dump, load
Quickstart
import pickle5
import os
data = {'name': 'Alice', 'age': 30, 'city': 'New York'}
# Dump data using pickle5 (protocol 5 is default)
with open('data.pickle5', 'wb') as f:
pickle5.dump(data, f)
print("Data successfully pickled to data.pickle5 using pickle5.")
# Load data using pickle5
with open('data.pickle5', 'rb') as f:
loaded_data = pickle5.load(f)
print(f"Data successfully loaded: {loaded_data}")
# Clean up
os.remove('data.pickle5')