Skip to main content
Project Status
CI/CD Latest Release ci Documentation Building
Quality Coverage Quality Gate Status Maintainability Rating Reliability Rating Security Rating
Package PyPI - Version PyPI - Support Python Versions
Community Discord Matrix Medium Twitter Blog
Meta Litestar Project types - Mypy License - MIT Litestar Sponsors linting - Ruff code style - Ruff

Pytest Databases

Ready-made database fixtures for your pytest tests.

Features

  • 🚀 Easy-to-use database fixtures
  • 🔄 Support for multiple database types
  • 🐳 Docker integration for isolated testing environments
  • ⚡ Fast and efficient test execution
  • 🔧 Highly configurable

pytest-databases uses the Docker Python SDK to manage the startup and shutdown of database services in containers. The following databases are currently available:

  • Postgres: Version 12, 13, 14, 15, 16, 17 and 18 are available
  • MySQL: Version 5.6, 5.7 and 8 are available
  • Oracle: Version 18c XE and 23C Free are available
  • SQL Server: Version 2022 is available
  • Google AlloyDB Omni: Simplified Omni installation for easy testing.
  • Google Spanner: The latest cloud-emulator from Google is available
  • Google BigQuery: Unofficial BigQuery emulator
  • CockroachDB: Version latest is available
  • Redis: Latest version
  • Valkey: Latest version
  • Dragonfly: Latest version
  • KeyDB: Latest version
  • Elasticsearch: Version 7 and 8 are available
  • Azure blob storage: Via azurite
  • Minio: Latest version

Installation

Quick install for postgres:

pip install pytest-databases[postgres]

Quick Start

  • Add to your pytest conftest.py:
pytest_plugins = ["pytest_databases.docker.postgres"]
  • Use in your tests:
from pytest_databases.docker.postgres import PostgresService
import psycopg

def test_one(postgres_service: PostgresService) -> None:
    with psycopg.connect(
        f"postgresql://{postgres_service.user}:{postgres_service.password}@{postgres_service.host}:{postgres_service.port}/{postgres_service.database}",
        autocommit=True,
    ) as conn:
        result = conn.execute("SELECT 1")
        assert result

Documentation

Full documentation is available at https://litestar-org.github.io/pytest-databases/latest/

Contributing

Contributions are welcome! Please read our Contributing Guide for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • The Litestar Framework team
  • The pytest community

Release files for pytest-databases 0.19.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pytest-databases 0.19.0
File Size Uploaded
pytest_databases-0.19.0.tar.gz 350.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pytest-databases 0.19.0
File Interpreter ABI Platform
pytest_databases-0.19.0-py3-none-any.whl Python 3 none any Details

Total release size: 391.6 kB

Release files / pytest_databases-0.19.0.tar.gz

Download URL pytest_databases-0.19.0.tar.gz
Size 350.0 kB
Tags Source
SHA-256 checksum
How to use checksums
ba7b8e51b551455daf3bd144384f6d4fba23d747b001f071795b02e6be2a3cbf
BLAKE2b-256 checksum
How to use checksums
ab4ee899556b3876eec2db9bd630ad3054ced94a9541c26319bec5c4cd00579d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 23, 2026.

Transparency log

Release files / pytest_databases-0.19.0-py3-none-any.whl

Download URL pytest_databases-0.19.0-py3-none-any.whl
Size 41.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d14651e23a716ed6f2317bf9ac317c9e7891db701253abf78e9cef1049e8f26b
BLAKE2b-256 checksum
How to use checksums
def4d6e2edae47a0421a8531a9805fb787b993380222f00dc25cee1634f55f3c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 23, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.19.0 This release

2 release files

0.18.0

2 release files

0.17.0

2 release files

0.16.0

2 release files

0.14.1

2 release files

0.14.0

2 release files

0.13.0

2 release files

0.12.3

2 release files

0.12.0

2 release files

0.11.1

2 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page