Python Strict Types
A lightweight Python library that provides strict numeric types with explicit value boundaries and runtime validation.
Features
- Strict integer types with defined minimum and maximum values.
- Automatic validation when creating instances.
- Clear exceptions for invalid values.
- No runtime dependencies.
- Type annotations and PEP 561 support.
- Compatible with Python 3.10+.
Clone the repository
git clone git@github.com:mishk22555-ux/Python-Strict-types.git
Installation
pip install strict-types
Available Types
| Type | Minimum | Maximum |
|---|---|---|
ByteType |
-128 | 127 |
ShortType |
-9,000,000 | 9,000,000 |
IntegerType |
-2,000,000,000 | 2,000,000,000 |
PercentageType |
0 | 100 |
All numeric types currently accept integers only.
Usage
Integer Types
from strict_types import ByteType, ShortType, IntegerType
byte = ByteType(127)
short = ShortType(5_000_000)
integer = IntegerType(1_500_000_000)
print(byte)
print(short)
print(integer)
PercentageType
from strict_types import PercentageType
percentage = PercentageType(75)
print(percentage) # 75
print(repr(percentage)) # 75%
Runtime Validation
Values outside the supported range raise a ValueError.
from strict_types import ByteType
byte = ByteType(200) # Raises ValueError
Non-integer values raise a TypeError.
byte = ByteType("100") # Raises TypeError
Arithmetic Operations
Numeric types inherit from Python's built-in int.
from strict_types import ByteType
a = ByteType(100)
b = ByteType(50)
result = a + b
print(result) # 150
print(type(result)) # <class 'int'>
Arithmetic operations currently return regular Python integers, so range validation is not automatically applied to arithmetic results.
Development
Install development dependencies:
python -m pip install -e ".[dev]"
Run tests:
python -m pytest
Check code quality:
ruff check .
mypy strict_types
Build the package:
python -m build
Project Structure
Python-Strict-types/
├── strict_types/
│ ├── __init__.py
│ ├── base.py
│ ├── integers.py
│ ├── percentage.py
│ └── py.typed
├── tests/
│ └── test.py
├── .gitignore
├── pyproject.toml
└── README.md
License
This project is licensed under the GNU General Public License v3.0 (GPL-3.0-only).
See the LICENSE file for the full license text.
Copyright (C) 2026 Mikhail.
Author
Mikhail
GitHub: https://github.com/mishk22555-ux/Python-Strict-types
Metadata
Release files for strict-types-python 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| strict_types_python-0.1.0.tar.gz | 15.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| strict_types_python-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.9 kB
Release files / strict_types_python-0.1.0.tar.gz
| Download URL | strict_types_python-0.1.0.tar.gz |
|---|---|
| Size | 15.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
33d6d675360c8cf2e22f9c8f2fa8eb499d75fa61a28b7f9526c6aa0cf04e8fdc
|
|
BLAKE2b-256 checksum How to use checksums |
76802a577925ccd497d2066600c368d4fa6955a5dc9d35f96467b377e45a5dbe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.5
|
Release files / strict_types_python-0.1.0-py3-none-any.whl
| Download URL | strict_types_python-0.1.0-py3-none-any.whl |
|---|---|
| Size | 16.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8f68598010d569336cf47df09653e2067750c8e471006efe6d66e723396e9fc3
|
|
BLAKE2b-256 checksum How to use checksums |
7e3fb0e84e8e6f669488720982956a5440b9d86f47fe20a12a236207de57d525
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.5
|
Security for strict-types-python 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.