--- id: essentials version: "1.1.9" license: MIT License Copyright (c) 2019-present Roberto Prevato, roberto.prevato@gmail.com Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated… (full text in the JSON record) license_treatment: permissive maintenance: aging --- # essentials — General purpose classes and functions License: permissive · Maintenance: aging · Downloads: 188.2K/mo ## What it is and what it does Essentials is a lightweight utility library that bundles common patterns and helpers for Python applications. It provides exception classes for standard error scenarios, a JSON encoder that handles datetime, UUID, bytes, and Pydantic models, utilities for filesystem operations, and several decorators for cross-cutting concerns like retries, logging, exception handling, and caching. It also includes a StopWatch for timing and a Registry base class for configuration-driven object instantiation. The package has no external runtime dependencies, making it a low-friction addition to any project. It's positioned as a general-purpose toolkit for reducing boilerplate in application code, particularly useful when you need a few common utilities without pulling in a larger framework. Use it for: - Add standard exception classes and JSON encoding for datetime/UUID/Pydantic objects to a web service or API - Implement retry logic and function call logging across an application using decorators - Build a configuration-driven object factory using the Registry base class - Time code execution and performance-critical sections with the StopWatch utility - Cache function results to reduce redundant computation in data processing pipelines ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Essentials provides reusable core classes and utility functions for common Python application tasks, including exception handling, JSON encoding, path utilities, decorators for retries and logging, and caching. Yes, with conditions. The package is stable, dependency-free, and covers genuinely useful utilities that reduce boilerplate. However, the 264-day maintenance gap suggests it is in a stable-but-aging state—suitable for projects that need these utilities and can tolerate infrequent updates, but not ideal if you require active development or rapid bug fixes. ## Install pip install essentials uv add essentials poetry add essentials ## Installing essentials Before you install: Low friction installation with no runtime dependencies. Maintenance status is aging—last release was 264 days ago, though the repository remains active and the package is marked Production/Stable. License in practice: MIT License permits unrestricted use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects. Quickstart: pip install essentials from essentials import StopWatch watch = StopWatch() watch.start() # ... code to time ... watch.stop() print(watch.elapsed()) Verify before relying: - Whether the package is actively maintained or in maintenance-only mode given the 264-day gap since last release - Real-world usage patterns and adoption rate beyond the top-15000 tier ranking ## Package facts - License: MIT License Copyright (c) 2019-present Roberto Prevato, roberto.prevato@gmail.com Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated… (full text in the JSON record) (permissive) - Python support: unspecified - Install friction: low - Maintenance: aging - Downloads: 188.2K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags python utility functions, common decorators retry logging, json encoder datetime uuid, stopwatch timer implementation, exception classes utilities, caching decorators, configuration registry base class, decorators, utilities, no-dependencies [View on SkillFed](https://skillfed.io/packages/essentials) · [View on PyPI](https://pypi.org/project/essentials/)