safethread 1.3.1

Python utilities classes for safe deployment and management of Threads, synchronization and Python data structures.

safethread

safethread is a Python package that wraps common Python data structures in thread-safe classes, providing utilities for thread-safe operations and synchronization mechanisms. It includes custom data structures designed to ensure thread safety when used in multi-threaded programming.

Features

• Thread-Safe Data Structures: SafeList, SafeDict, SafeTuple, SafeSet, among others.
• Thread Synchronization: Built-in locking mechanisms to ensure safe operations in multithreaded environments.
• Threaded Classes: Threaded classes to perform parallel data processing, scheduled function calls, among others.
• Utility Classes and Functions: Additional helpers and utilities for threading (Pipeline, PipelineStage, Publish/Subscribe, etc), synchronization and other functionality unrelated to multithread programming.

Installation

You can install safethread from PyPI:

pip install safethread

Usage

from safethread.datatype import SafeList, SafeDict
from safethread.utils import PipelineStage

# Using SafeList
safe_list = SafeList()
safe_list.append(1)
print(safe_list[0])  # Output: 1

# Using SafeDict
safe_dict = SafeDict()
safe_dict['key'] = 'value'
print(safe_dict['key'])  # Output: 'value'

# Using Pipeline (separate working thread)
stage = PipelineStage(lambda x: x * 2)
stage.start()

# Put some values into the pipeline for processing
stage.put(5)
stage.put(10)

# Get and print the results
print(f"Processed result 1: {stage.get()}")  # Output: 10 (5 * 2)
print(f"Processed result 2: {stage.get()}")  # Output: 20 (10 * 2)

# Stop pipeline
stage.stop()
stage.join()

For further details, check the examples/ folder and the full documentation (link below).

Documentation

The full documentation is available in https://andre-romano.github.io/safethread/docs

Contributing

We welcome contributions! If you'd like to contribute, please fork the repository and submit a pull request.

Special thanks / Acknowledgments

• pdocs
• PyPi
• Python 3

License and Copyright

Copyright (C) 2025 - Andre Luiz Romano Madureira

This project is licensed under the Apache License 2.0.

For more details, see the full license text (see LICENSE file).