pluginbase
PluginBase is a module for Python that enables the development of flexible plugin systems in Python.
Decision gist · record as of 2026-08-14
Yes, if you need a lightweight plugin framework and can accept that the package is no longer maintained. The core functionality is stable and has no known vulnerabilities, but verify compatibility with your target Python version before committing. For new projects, consider whether an actively maintained alternative better suits your needs.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- High install friction with no runtime dependencies.
- The package is marked abandoned (last commit 2021-05-16, 1916 days since release), though it remains in production/stable status and has accumulated 1139 repository stars.
- Use only if plugin architecture is essential and no actively maintained alternative exists.
License · maintenance · safety
permissive license (permissive) — Licensed under BSD (permissive), allowing use in commercial and proprietary projects with minimal restrictions.
last release 2021-05-16 (1916 days) · last repo commit 2021-05-16 · 1,139 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 819,144 downloads/mo, #4,978 on PyPI
Alternatives
Verify before relying
from pluginbase import PluginBase
plugin_base = PluginBase(package='yourapplication.plugins')
plugin_source = plugin_base.make_plugin_source(searchpath=['./plugins'])
my_plugin = plugin_source.load_plugin('my_plugin')
my_plugin.do_something_cool()- Whether the package works reliably with Python versions beyond 3.9 (classifiers list 3.9 as the latest tested)
- Whether abandonment status affects compatibility with modern Python packaging standards
What it is and what it does
PluginBase is a Python module that abstracts the mechanics of discovering and loading plugins from the filesystem. It lets you define a package namespace and search paths, then dynamically import plugin modules at runtime without pre-registering them. The framework handles the import process so your application can treat plugins as regular Python modules once loaded.
Typical use involves three steps: instantiate a PluginBase with a package name, create a plugin source pointing to directories containing plugin code, then load individual plugins by name or import them as context managers. This is useful for applications that need extensibility without requiring users to modify core code or restart the application.
Use it for
- Build an extensible application where users can drop plugin files into a directory and have them automatically discovered
- Create a command-line tool with optional feature plugins that load on demand from a plugins folder
- Develop a data processing pipeline where transformation steps are implemented as separate plugin modules
- Build a game or graphics application with modular content packs loaded as plugins at startup
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a lightweight plugin framework and can accept that the package is no longer maintained.
The core functionality is stable and has no known vulnerabilities, but verify compatibility with your target Python version before committing. For new projects, consider whether an actively maintained alternative better suits your needs.
Install
pluginbase on PyPI
Before you install
High install friction with no runtime dependencies. The package is marked abandoned (last commit 2021-05-16, 1916 days since release), though it remains in production/stable status and has accumulated 1139 repository stars. Use only if plugin architecture is essential and no actively maintained alternative exists.
License in practice
Licensed under BSD (permissive), allowing use in commercial and proprietary projects with minimal restrictions.
Quickstart
from pluginbase import PluginBase
plugin_base = PluginBase(package='yourapplication.plugins')
plugin_source = plugin_base.make_plugin_source(searchpath=['./plugins'])
my_plugin = plugin_source.load_plugin('my_plugin')
my_plugin.do_something_cool()Verify before relying
- Whether the package works reliably with Python versions beyond 3.9 (classifiers list 3.9 as the latest tested)
- Whether abandonment status affects compatibility with modern Python packaging standards
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,916 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 819,144 / month, #4,978 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: PluginsIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: Libraries :: Python Modules |
Evidence: pluginbase-1.0.1.tar.gz
Tags
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 › “modular plugin management”
- pluginbasePluginBase provides a framework for building plugin systems in…
- persisting-theoryPersisting-theory provides a registry system for automatically…
- lmllml provides a lazy plugin management system that discovers and loads…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also plugincode · pluginlib · pluggy · stevedore · napari-plugin-engine · lml · entrypoints · plux · polylith-cli · pytest