exasol-integration-test-docker-environment
Integration Test Docker Environment for Exasol
Decision gist · record as of 2026-08-14
Yes, if you are testing against Exasol and need to automate Docker-DB container management. The package is actively maintained, has no security issues, and offers both CLI and programmatic access. Install friction is low and license is permissive. Only caveat: you must have Docker installed and running; the package is a wrapper, not a standalone tool.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Docker to be installed and running on the host system; the package itself is a Python wrapper around Docker container orchestration.
- Low friction install with a pure-Python wheel.
- Active maintenance (last commit 2026-08-10, release 10 days old) and broad Python support (3.10–3.14).
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, provided you include the license notice.
last release 2026-08-04 (10 days) · last repo commit 2026-08-10 · 6 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 173,722 downloads/mo, #10,301 on PyPI
Alternatives
Verify before relying
pip install exasol-integration-test-docker-environment
from exasol_integration_test_docker_environment import ...
# Use the API to start an Exasol Docker-DB container for testing- Specific API entry points and classes available for programmatic use beyond the CLI.
- Whether the package supports Docker Compose or only direct Docker daemon interaction.
- Minimum Docker version or feature requirements for compatibility.
What it is and what it does
This package wraps Exasol's Docker-DB container to simplify integration testing. It offers both a command-line interface and a Python API layer, allowing you to spin up a test database environment without manually managing Docker commands. The CLI is straightforward for one-off test runs, while the API layer extends functionality to also manage associated test containers whose lifecycle you control.
The package depends on a substantial stack—docker, fabric, luigi, jinja2, click, and others—to handle container orchestration, templating, task workflows, and SSH-based operations. It's actively maintained and supports modern Python versions (3.10–3.14), with low installation friction via a pure wheel. No known security vulnerabilities are recorded.
Use it for
- Automate spinning up ephemeral Exasol database containers in CI/CD pipelines for integration tests.
- Manage test database lifecycle programmatically within Python test suites using the API layer.
- Set up isolated test environments with both an Exasol database and a companion test container for complex test scenarios.
- Simplify local development workflows by scripting database container startup and teardown.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are testing against Exasol and need to automate Docker-DB container management.
The package is actively maintained, has no security issues, and offers both CLI and programmatic access. Install friction is low and license is permissive. Only caveat: you must have Docker installed and running; the package is a wrapper, not a standalone tool.
Install
exasol-integration-test-docker-environment on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance (last commit 2026-08-10, release 10 days old) and broad Python support (3.10–3.14). Depends on 17 runtime packages including docker, fabric, and luigi, which are stable and widely used.
Requires Docker to be installed and running on the host system; the package itself is a Python wrapper around Docker container orchestration.
License in practice
MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, provided you include the license notice.
Quickstart
pip install exasol-integration-test-docker-environment
from exasol_integration_test_docker_environment import ...
# Use the API to start an Exasol Docker-DB container for testingVerify before relying
- Specific API entry points and classes available for programmatic use beyond the CLI.
- Whether the package supports Docker Compose or only direct Docker daemon interaction.
- Minimum Docker version or feature requirements for compatibility.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 17 packagesclickdockerdocutilsexasol-error-reportingfabricgitpythonhumanfriendlyjinja2jsonpickleluiginetaddrnetworkxportalockerpydotrequestssimplejsonstopwatch.py |
| Maintenance | Actively maintained 10 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 173,722 / month, #10,301 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: exasol_integration_test_docker_environment-6.5.1-py3-none-any.whl
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See also sqlalchemy_exasol · dbt-exasol · exasol-error-reporting · apache-airflow-providers-exasol · tox-docker · pyexasol · container-inspector · pytest-container · docker · pylxd