$npx skillfedfor your agent

maybe-else

Provides a Maybe class as a Python implementation of null-aware operators.

SkipPyPI Software DevelopmentReleased Nov 2019608.7K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — maybe_else-0.2.1-py3-none-any.whl
v0.2.1 · released 2019-11-14

No. The package is abandoned (last commit 2021-03-10, no releases since 2019-11-14) and officially supports only Python 3.7. While the core idea is useful and the MIT license is permissive, the lack of maintenance and narrow version support make it risky for new projects. Modern Python offers better alternatives (e.g., `operator.attrgetter` with exception handling, or type-aware libraries like `pydantic`). Install only if you are maintaining legacy code that already depends on it.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Package is abandoned and only officially tested on Python 3.7; compatibility with newer Python versions is not guaranteed.
  • Installation is frictionless with no runtime dependencies.
  • However, the package is abandoned—last commit was 2021-03-10 and no releases since 2019-11-14.

License · maintenance · safety

MIT (permissive) — Licensed under MIT (permissive), so you may use, modify, and distribute it freely with minimal restrictions.

last release 2019-11-14 (2465 days) · last repo commit 2021-03-10

0 known vulnerabilities (OSV.dev, 2026-08-14) · 608,745 downloads/mo, #5,777 on PyPI

Verify before relying

pip install maybe-else

from maybe_else import Maybe

result = Maybe(None).else_("fallback")  # "fallback"
result = Maybe({"key": "value"})["key"].else_("default")  # "value"
  • Whether the package works reliably on Python versions newer than 3.7 despite being abandoned.
  • Whether the exception-catching behavior (IndexError, KeyError, AttributeError, TypeError) is comprehensive enough for real-world chaining scenarios.
  • Current test coverage and whether the codebase has known edge cases or limitations beyond those documented.
Same gist for agents: .md · .json

What it is and what it does

maybe-else provides a `Maybe` wrapper class that lets you chain operations on values without repeatedly checking for None. Instead of writing `var if var is not None else handle_none(var)`, you wrap the value in `Maybe()`, chain attribute access, item access, or method calls, and call `.else_()` at the end with a fallback value. If the wrapped value is None or any operation raises `IndexError`, `KeyError`, `AttributeError`, or `TypeError`, the fallback is returned; otherwise the result of the chain is returned.

The package has no runtime dependencies and installs with low friction. However, it has been abandoned since late 2019 and is marked as Alpha. It was only tested against Python 3.7, so use on newer Python versions is unsupported and untested. The core idea is sound for reducing boilerplate in null-safe code, but the lack of maintenance means you should evaluate whether the behavior matches your needs before relying on it in production.

Use it for

  • Safely access nested dictionary or object attributes without intermediate None checks: `Maybe(obj).attr.nested["key"].else_(default_value)`.
  • Call methods on values that might be None without raising AttributeError: `Maybe(string_or_none).upper().else_("UNKNOWN")`.
  • Chain arithmetic or bitwise operations and return a fallback if they fail: `(Maybe(value) / divisor).else_(0)`.
  • Simplify conditional fallback logic in data transformation pipelines where intermediate steps may return None.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Skip

No.

The package is abandoned (last commit 2021-03-10, no releases since 2019-11-14) and officially supports only Python 3.7. While the core idea is useful and the MIT license is permissive, the lack of maintenance and narrow version support make it risky for new projects. Modern Python offers better alternatives (e.g., `operator.attrgetter` with exception handling, or type-aware libraries like `pydantic`). Install only if you are maintaining legacy code that already depends on it.

Install

maybe-else on PyPI

Before you install

Installation is frictionless with no runtime dependencies. However, the package is abandoned—last commit was 2021-03-10 and no releases since 2019-11-14. It is marked as Alpha status and officially supports only Python 3.7.

Package is abandoned and only officially tested on Python 3.7; compatibility with newer Python versions is not guaranteed.

License in practice

Licensed under MIT (permissive), so you may use, modify, and distribute it freely with minimal restrictions.

Quickstart

pip install maybe-else

from maybe_else import Maybe

result = Maybe(None).else_("fallback")  # "fallback"
result = Maybe({"key": "value"})["key"].else_("default")  # "value"

Verify before relying

  • Whether the package works reliably on Python versions newer than 3.7 despite being abandoned.
  • Whether the exception-catching behavior (IndexError, KeyError, AttributeError, TypeError) is comprehensive enough for real-world chaining scenarios.
  • Current test coverage and whether the codebase has known edge cases or limitations beyond those documented.

Package facts

LicenseMIT permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceAbandoned 2,465 days since the last release
Last repo commit
First released
Downloads608,745 / month, #5,777 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaIntended Audience :: DevelopersProgramming Language :: Python :: 3.7

Evidence: maybe_else-0.2.1-py3-none-any.whl

Tags

Capabilities
null-aware operators pythonmaybe monad none handlingsafe chaining attribute accessoptional value wrappernull coalescing pythonerror-safe method chains
Topics
null-safetyabandoned

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “null-aware operators python”

  • maybe-elseWraps values in a `Maybe` class to handle None checks and chained…
  • aiostreamaiostream provides composable stream operators for building…
  • airflow-dbtProvides Airflow operators that wrap dbt CLI commands (seed,…

Give your agent the search over MCP, or paste the wish link into any chat.

More Software Development packages

typing-extensions Worth it
PyPI · Software Development · released Jul 2026

Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.

PSF-2.0pure Python · 3.9+
1.9Bdownloads / mo
numpy Worth it
PyPI · Software Development · released Aug 2026

NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
fastapi Worth it
PyPI · Software Development · released Jul 2026

FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.

MITpure Python · 3.10+
568.6Mdownloads / mo
annotated-doc With conditions
PyPI · Software Development · released Jul 2026

Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.

MITpure Python · 3.9+
456.2Mdownloads / mo
typer Worth it
PyPI · Software Development · released Aug 2026

Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.

Install it if you are building CLIs in Python.

MITpure Python · 3.10+
369.3Mdownloads / mo
distlib With conditions
PyPI · Software Development · released Jun 2026

Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.

permissive licensepure Python
323.3Mdownloads / mo

See also returns · pipe · nr-stream · infinity · wraps · plucky · intervals · pyfunctional · pysubtypes · pathmagic