pondpond

What it is and what it does

Pond is an object-pooling library that manages a pool of reusable objects with automatic lifecycle support—creation, validation, reset, and destruction—through a factory pattern. Objects are borrowed from the pool, used, and recycled back; the library tracks usage frequency and automatically evicts infrequently used objects at configurable intervals (default 300 seconds). Borrowing and recycling are thread-safe and coroutine-safe, making it suitable for multi-threaded and async Python applications.

The library uses approximate counting to track object usage with minimal memory overhead and applies configurable eviction policies to balance memory usage and hit rate. It supports both synchronous and asynchronous borrow and recycle operations, and allows registering multiple factory classes to manage different object types within a single Pond instance. The default configuration is tuned to reduce memory usage while maintaining high reuse rates under typical traffic patterns.

Use it for:

• Manage database connection pools in web applications to reduce connection creation overhead and improve throughput.
• Pool expensive objects in long-running services to amortize initialization costs across many requests.
• Implement resource recycling in async frameworks where coroutine-safe borrowing and recycling are required.
• Reduce memory footprint in memory-constrained environments by automatically evicting unused pooled objects.
• Support multi-threaded producer-consumer systems where thread-safe object reuse avoids contention on object creation.

Worth the install?

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

Pond is an object-pooling library that manages reusable object instances with automatic lifecycle management, thread-safe borrowing and recycling, and memory-efficient frequency-based eviction.

Yes, with conditions. Pond is a low-friction, no-vulnerability library suitable for production use if you need object pooling with automatic eviction and coroutine support. However, maintenance is dormant (last release 2024-03-01, no recent commits), so adopt it only if you can tolerate a stable but unsupported dependency. Verify the license terms in the repository first, as the metadata does not declare one. The single runtime dependency (madoka) adds minimal risk but should be checked for its own maintenance status.

Install

pondpond on PyPI

pip install pondpond

uv add pondpond

poetry add pondpond

Installing pondpond

Before you install

Low install friction with a single pure-Python wheel dependency (madoka). The package is aging—last release was 2024-03-01 and the repository shows no recent activity—so maintenance is dormant rather than actively supported.

License in practice

License status is unclear; no SPDX identifier or raw license text is available in the metadata. Verify the actual license terms in the repository before adopting in a commercial or copyleft-sensitive context.

Quickstart

pip install pondpond

from pondpond import Pond, PooledObjectFactory, PooledObject

class MyFactory(PooledObjectFactory):
    def createInstance(self) -> PooledObject:
        return PooledObject(MyObject())
    def destroy(self, obj): pass
    def reset(self, obj): return obj
    def validate(self, obj): return True

pond = Pond()
pond.register(MyFactory(pooled_maxsize=10))
pooled = pond.borrow(MyFactory)
obj = pooled.use()
pond.recycle(pooled, MyFactory)

Requires Python 3.8 or greater. The runtime dependency madoka must be available.

Verify before relying

• Whether madoka is a well-maintained dependency or carries its own maintenance risks.
• Current state of the repository and whether the last commit date reflects active development.
• Whether the memory reduction claims are reproducible in typical workloads.

Package facts

Evidence: pondpond-1.4.1-py3-none-any.whl

Tags

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