apathetic-utils 0.2.0

When stdlib isn't enough.

Apathetic Python Utils ⚙️

📘 Roadmap · 📝 Release Notes

Grab bag of helpers for Apathetic projects.
When stdlib isn't enough.

Apathetic Python Utils provides a lightweight, dependency-free collection of utility functions designed for CLI tools. It includes helpers for file loading, path manipulation, system detection, text processing, type checking, pattern matching, and more.

[!NOTE] Heads up: the AI cooked dinner. It's edible, but watch your step.
Detailed bug reports welcome.

Quick Start

from apathetic_utils import load_jsonc, load_toml, is_ci, detect_runtime_mode
from pathlib import Path

# Load configuration files
config = load_jsonc(Path("config.jsonc"))
pyproject = load_toml(Path("pyproject.toml"))

# Detect environment
if is_ci():
    print("Running in CI")

# Detect runtime mode (installed, standalone, zipapp, frozen)
mode = detect_runtime_mode("my_package")
print(f"Running in {mode} mode")

Installation

# Using poetry
poetry add apathetic-utils

# Using pip
pip install apathetic-utils

Documentation

📚 Full Documentation →

For installation guides, API reference, examples, and more, visit our documentation website.

Features

• 🪶 Zero dependencies — Uses only Python's standard library (except apathetic-logging for logging)
• 📁 File loading — Load TOML and JSONC files with comment support
• 🛤️ Path utilities — Cross-platform path normalization and glob handling
• 🔍 Pattern matching — Portable glob pattern matching with recursive ** support
• 🧪 System detection — Detect CI environments, pytest execution, and runtime modes
• 📝 Text processing — Pluralization and error message cleanup utilities
• 🔧 Type utilities — Safe isinstance checks for TypedDicts and generics
• 🎯 CLI-friendly — Designed with command-line applications in mind

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⚖️ License

• MIT-a-NOAI License

You're free to use, copy, and modify the library under the standard MIT terms.
The additional rider simply requests that this project not be used to train or fine-tune AI/ML systems until the author deems fair compensation frameworks exist.
Normal use, packaging, and redistribution for human developers are unaffected.