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persisting-theory

Registries that can autodiscover values accross your project apps

SkipPyPI Application FrameworksReleased May 2022165.7K downloads / moBSDPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — persisting_theory-1.0-py3-none-any.whl
v1.0 · released 2022-05-06

No. While the package is lightweight and has no dependencies, it is abandoned (last release 2022-05-06, no maintenance for over 1561 days). For new projects, consider actively maintained alternatives. For existing code already using it, it may continue to work, but you will receive no updates for bugs or Python version incompatibilities.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Installation is straightforward with no runtime dependencies.
  • However, the package is abandoned—last release was 2022-05-06, over 1561 days ago—so it will not receive bug fixes or maintenance.

License · maintenance · safety

BSD (permissive) — Licensed under BSD (permissive), which allows commercial and private use with minimal restrictions, though you should include the license text in distributions.

last release 2022-05-06 (1561 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 165,716 downloads/mo, #10,519 on PyPI

Verify before relying

pip install persisting-theory

from persisting_theory import Registry

class MyRegistry(Registry):
    look_into = "my_module"

my_registry = MyRegistry()

@my_registry.register
def my_function():
    pass

my_registry.autodiscover(['app1', 'app2'])
for item in my_registry.values():
    item()
  • Whether the package works reliably on Python versions beyond 3.9, given its abandoned status and lack of recent testing.
  • Real-world performance and stability when used in large applications with many registered components.
Same gist for agents: .md · .json

What it is and what it does

Persisting-theory is a lightweight registry utility that automates the discovery and registration of data (functions, classes, or arbitrary values) across multiple application packages. It works by scanning designated modules in your app packages for registered items and making them accessible through a central registry object that behaves like an OrderedDict.

The package is designed for plugin-based architectures where different components need to register themselves without explicit imports. You define a Registry subclass, specify which module names to scan via the `look_into` attribute, decorate items with `@registry.register`, then call `autodiscover()` with your app names to populate the registry. It also supports validation and data transformation through overridable methods, and a meta-registry for managing multiple registries.

Use it for

  • Building plugin systems where components in separate packages self-register without central coordination.
  • Creating callback registries so different app modules can register handlers that others can discover and invoke.
  • Implementing a configuration or factory pattern where different packages register their implementations for later lookup.
  • Automating discovery of test fixtures, validators, or middleware across a modular application.
  • Managing multiple independent registries (e.g., one for handlers, one for validators) through a meta-registry.

Worth the install?

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

Skip

No.

While the package is lightweight and has no dependencies, it is abandoned (last release 2022-05-06, no maintenance for over 1561 days). For new projects, consider actively maintained alternatives. For existing code already using it, it may continue to work, but you will receive no updates for bugs or Python version incompatibilities.

Install

persisting-theory on PyPI

Before you install

Installation is straightforward with no runtime dependencies. However, the package is abandoned—last release was 2022-05-06, over 1561 days ago—so it will not receive bug fixes or maintenance.

License in practice

Licensed under BSD (permissive), which allows commercial and private use with minimal restrictions, though you should include the license text in distributions.

Quickstart

pip install persisting-theory

from persisting_theory import Registry

class MyRegistry(Registry):
    look_into = "my_module"

my_registry = MyRegistry()

@my_registry.register
def my_function():
    pass

my_registry.autodiscover(['app1', 'app2'])
for item in my_registry.values():
    item()

Verify before relying

  • Whether the package works reliably on Python versions beyond 3.9, given its abandoned status and lack of recent testing.
  • Real-world performance and stability when used in large applications with many registered components.

Package facts

LicenseBSD permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceAbandoned 1,561 days since the last release
First released
Downloads165,716 / month, #10,519 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: persisting_theory-1.0-py3-none-any.whl

Tags

Capabilities
plugin registry autodiscoverycomponent registration systemapp plugin discoverydynamic registry patternmodular app registrationautodiscover callbackspluggable component registry
Topics
plugin-systemregistry-patternabandoned

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See also django-constance · catalogue · phx-class-registry · django-appconf · robotcode-plugin · zope.component · django-adminplus · pandas-flavor · zope.site · kafka-schema-registry