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DBUtils

Database connections for multi-threaded environments.

dbutils v3.1.2 3.1M downloads/30d#2,727 on PyPI379
Permissive license MIT AGING released

What it is and what it does

DBUtils is a connection pooling library designed to manage database connections safely in multi-threaded environments. It wraps DB-API 2 compliant database interfaces and the classic PyGreSQL interface to provide persistent, reusable connection pools that reduce the overhead of opening and closing connections repeatedly. The package handles thread synchronization internally, allowing multiple threads to safely share pooled connections without race conditions or connection leaks.

The library is mature—first released in 2005—and supports Python 3.7 through 3.14. It has no external runtime dependencies, making it lightweight to integrate into existing applications. The main use case is web applications and other multi-threaded services that need efficient, thread-safe database access without the complexity of managing connections manually.

Use it for:

  • Web applications needing thread-safe database connection pooling for concurrent requests.
  • Multi-threaded server applications that open many database connections and need to reuse them efficiently.
  • Applications using DB-API 2 drivers where connection overhead is a bottleneck.
  • Legacy systems using PyGreSQL that require stable, pooled connection management.
  • Services where connection leaks or thread-unsafe access patterns could cause database resource exhaustion.

Worth the install?

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

DBUtils provides pooled, persistent database connections for multi-threaded Python applications, supporting DB-API 2 compliant interfaces and PyGreSQL.

Yes. DBUtils is a stable, dependency-free solution for a real problem—thread-safe connection pooling—with no known vulnerabilities and broad Python version support. The aging maintenance status (341 days since last release) is a minor concern but not a blocker given its Production/Stable classification and active repository. Install it if you need pooled database connections in a multi-threaded application.

Install

dbutils on PyPI

pip

pip install dbutils

uv

uv add dbutils

poetry

poetry add dbutils

Installing DBUtils

Before you install

Low install friction with no runtime dependencies. Maintenance status is aging—last release was 341 days ago—but the package is in Production/Stable status and the repository remains active with recent commits.

License in practice

MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.

Quickstart

pip install DBUtils

from DBUtils.PooledDB import PooledDB

pool = PooledDB(
    creator=your_db_module,
    maxconnections=5,
    host='localhost',
    user='user',
    password='pass',
    database='mydb'
)
conn = pool.connection()
cursor = conn.cursor()

Requires a DB-API 2 compliant database driver or PyGreSQL to be installed separately; DBUtils provides only the pooling layer.

Verify before relying

  • Whether connection pooling performance meets your application's throughput requirements.
  • Compatibility details with specific database drivers beyond DB-API 2 and PyGreSQL.
  • Whether the breaking changes in version 2.0 affect your existing codebase if upgrading.
  • Which specific DB-API 2 compliant drivers have been tested with this version.

Package facts

License MIT (permissive)
Python support supports the current Python release (>=3.7)
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance aging — 341 days since the last release
Last repo commit
First released
Downloads 3,149,650/month — #2,727 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: dbutils-3.1.2-py3-none-any.whl

Development Status :: 5 - Production/StableEnvironment :: Web EnvironmentIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: DatabaseTopic :: Internet :: WWW/HTTP :: Dynamic ContentTopic :: Software Development :: Libraries :: Python Modules

Tags

database connection poolingmulti-threaded database connectionspersistent database poolthread-safe database connectionsdb-api connection managementdatabase connection reusepooled database access
connection-poolingmulti-threading

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