skillfed

lazyasd

Lazy & self-destructive tools for speeding up module imports

lazyasd v0.1.4 145.3K downloads/30d#11,129 on PyPI55
Permissive license BSD 3-clause Abandoned released

What it is and what it does

lazyasd provides tools to defer expensive computations and module imports until they are actually needed, reducing application startup time. It works by wrapping expensive operations in lazy proxy objects that perform no work when created, but trigger their loader function on first access and then replace themselves in the calling scope with the real value. This is useful for command-line tools, web servers, and other user-facing applications where import speed matters.

The package offers three main strategies: LazyObject for general lazy construction, LazyBool and LazyDict for specialized cases, and load_module_in_background() for importing heavy modules on a background thread. The self-destructive aspect means that once a lazy object is accessed and replaced with its real value, the proxy itself can be garbage collected, leaving no overhead in subsequent accesses.

Use it for:

  • Speed up CLI startup by deferring regex compilation, config parsing, or other expensive module-level setup until first use.
  • Lazy-import heavy third-party modules like pygments or pkg_resources in background threads to unblock application initialization.
  • Reduce import time for data science or ML libraries that build large global caches or models at import time.
  • Implement lazy module imports where a submodule is only imported if one of its members is actually accessed.
  • Defer expensive initialization in long-running services that may not use all their optional features on every run.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides lazy-loading and self-destructive proxy objects to defer expensive module imports and global state construction until first use, speeding up application startup times.

No. The package is abandoned (last release 2018, no commits since February 2022) and has high install friction. While the concept is sound and the BSD license is permissive, the lack of maintenance means no fixes for Python version incompatibilities or import machinery changes. For new projects, consider maintained alternatives or inline the single-file implementation directly into your codebase, as the documentation explicitly permits.

Install

lazyasd on PyPI

pip

pip install lazyasd

uv

uv add lazyasd

poetry

poetry add lazyasd

Installing lazyasd

Before you install

High install friction reported. Package is abandoned as of 2022, with no releases since 2018 and no commits since February 2022. Maintenance risk is substantial for new projects.

License in practice

BSD 3-clause permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.

Quickstart

from lazyasd import LazyObject
import re

FOO_RE = LazyObject(lambda: re.compile('foo'), globals(), 'FOO_RE')

def has_foo(s):
    return FOO_RE.search(s) is not None

Verify before relying

  • Compatibility with Python versions released after 2018 (last release date) is unclear.
  • Whether the package works correctly with modern import machinery and sys.modules behavior.
  • Active maintenance or community forks that may have addressed issues since abandonment.

Package facts

License BSD 3-clause (permissive)
Python support not specified
Install friction high — source build required
Runtime dependencies none
Maintenance abandoned — 3,068 days since the last release
Last repo commit
First released
Downloads 145,284/month — #11,129 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: lazyasd-0.1.4.tar.gz

Intended Audience :: DevelopersLicense :: OSI ApprovedProgramming Language :: PythonTopic :: Utilities

Tags

lazy module importsdefer expensive importsspeed up startup timelazy object proxybackground module loadinglazy initializationimport performance
import-optimizationstartup-performance

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