Connection Pool Python Packages

dbutils

Database connections for multi-threaded environments

connection-pool

Thread-safe connection pool

pymysql-pool

A simple but robust connection pool (with multiplexing) base on PyMySQL, mainly used for multi threads mode, which also compatible with single thread mode.

pymysql-pooling

PyMySQL-based database connection pool.

fast-litellm

High-performance Rust acceleration for LiteLLM - providing significant performance improvements for connection pooling, rate limiting, and memory-intensive workloads.

adbc-poolhouse

Connection pooling for ADBC drivers from typed warehouse configs.

django-conn-pool

MySQL Connection Pooling with Django and SQLAlchemy

async-sonic

Zero-dependency asyncio client for the Sonic search backend, with pooling and pipelining

pooledmysql

This Python package provides a robust solution for managing MySQL connections in multi-threaded applications. It implements an auto-scaling connection pool that grows and shrinks based on demand, ensuring efficient resource use and eliminating the hassle of manually creating and deleting connections.

dbkit-sql

SQLAlchemy Core made enjoyable — sync + async, bounded pools, idempotency-gated retries, sharding, streaming, and observability. ORM-free, PostgreSQL-first.

mcp-pool

Async connection pool for Model Context Protocol (MCP) client sessions — keep sessions warm, reuse across requests, auto-reconnect on failure, cache tools/list. Drop-in replacement saving ~195ms per agent request.

pymysql-manager

pymysql connection & pool manager

mysqlclient-pool

MySQL database dynamic connection pool for "mysqlclient" connector.

pyroxi

High-performance Python proxy library with SOCKS5/HTTP, async, and zero dependencies.

crudlib

No ORM, cross-database

pymysql-pooling-codingman

PyMySQL-based database connection pool.

pypool

Python Based Connection Pool