DBUtils
Database connections for multi-threaded environments.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a DB-API 2 compliant database driver or PyGreSQL to be installed separately; DBUtils provides only the pooling layer.
- 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 · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.
last release 2025-09-07 (341 days) · last repo commit 2025-12-20 · 379 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,149,650 downloads/mo, #2,727 on PyPI
Alternatives
Verify before relying
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()- 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.
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 on it.
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
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.
Requires a DB-API 2 compliant database driver or PyGreSQL to be installed separately; DBUtils provides only the pooling layer.
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()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 |
| Classifiers | 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 |
Evidence: dbutils-3.1.2-py3-none-any.whl
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See also psycopg2-pool · django-db-connection-pool · clickhouse-pool · connection_pool · PyGreSQL · singlestoredb · persist-queue · psycopg-pool · django-db-geventpool · psycopg2-binary