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data-platform-helpers

With conditionsPyPI Distributed ComputingReleased Jun 2026103.5K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — data_platform_helpers-1.1.0-py3-none-any.whl
v1.1.0 · released 2026-06-17 · Python <4.0,>=3.10 · 3 runtime deps: ops, pydantic, rich

Yes, if you are building or maintaining Juju charms for distributed data platforms and need reliable version validation across related applications. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Not relevant for non-charm contexts.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; designed for use within Juju charm applications.
  • Low install friction with a pure Python wheel.
  • Actively maintained with a recent release.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

last release 2026-06-17 (58 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 103,478 downloads/mo, #12,802 on PyPI

Verify before relying

pip install data-platform-helpers==1.1.0

from data_platform_helpers.version_check import CrossAppVersionChecker
version_checker = CrossAppVersionChecker(
    charm_instance,
    version="1.0",
    relations_to_check=["relation1", "relation2"]
)
if not version_checker.are_related_apps_valid():
    print(version_checker.get_invalid_versions())
  • Whether the Advanced Statuses Handler and Interfaces modules are fully implemented or still in development (description marks Interfaces as V1 and Statuses as TBD).
  • Specific version range syntax supported by the version_validity_range parameter.
  • Whether the package works outside Juju charm contexts or is charm-specific.
Same gist for agents: .md · .json

What it is and what it does

data-platform-helpers is a utility library for validating version consistency across distributed data platform components, particularly in Juju charm deployments. Its primary feature is a CrossAppVersionChecker that enforces version alignment between related applications—for example, ensuring that Kafka brokers and Kafka Connect instances, or shards and cluster managers, run compatible versions. You instantiate the checker with your charm instance, the current version, and a list of relations to monitor; it then validates that related applications meet your version constraints and can report which relations have mismatched versions.

The package also includes Data Interfaces V1, a set of abstractions intended for charm libraries and other code that needs parts of the data interfaces specification but cannot use the charm-lib directly. It depends on ops (Juju charm framework), pydantic (for data validation), and rich (for terminal output). The library targets Python 3.10 and later and is classified as production-stable.

Use it for

  • Enforce version compatibility in a sharded cluster where all shards and the cluster manager must run the same component versions.
  • Validate that Kafka Connect and Kafka broker applications maintain compatible underlying versions during deployments.
  • Check version alignment across multiple related charm applications during upgrade or join events.
  • Provide standardized data interfaces for charm libraries that need cross-application communication patterns.
  • Log or fail charm events when related applications have mismatched versions that would cause operational issues.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building or maintaining Juju charms for distributed data platforms and need reliable version validation across related applications.

The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Not relevant for non-charm contexts.

Install

data-platform-helpers on PyPI

Before you install

Low install friction with a pure Python wheel. Actively maintained with a recent release. Depends on ops, pydantic, and rich—all stable, widely-used libraries.

Requires Python 3.10 or later; designed for use within Juju charm applications.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

Quickstart

pip install data-platform-helpers==1.1.0

from data_platform_helpers.version_check import CrossAppVersionChecker
version_checker = CrossAppVersionChecker(
    charm_instance,
    version="1.0",
    relations_to_check=["relation1", "relation2"]
)
if not version_checker.are_related_apps_valid():
    print(version_checker.get_invalid_versions())

Verify before relying

  • Whether the Advanced Statuses Handler and Interfaces modules are fully implemented or still in development (description marks Interfaces as V1 and Statuses as TBD).
  • Specific version range syntax supported by the version_validity_range parameter.
  • Whether the package works outside Juju charm contexts or is charm-specific.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <4.0,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
opspydanticrich
MaintenanceActively maintained 58 days since the last release
First released
Downloads103,478 / month, #12,802 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: System AdministratorsOperating System :: POSIX :: Linux

Evidence: data_platform_helpers-1.1.0-py3-none-any.whl

Tags

Capabilities
cross-app version validationdistributed system version checkingcharm library data interfacesplatform component compatibilityversion mismatch detectiondata platform utilitiescharm relation helpers
Topics
juju-charmversion-validationdistributed-systems

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See also charmcraftlocal · charm-refresh-build-version · cosl · charmlibs-pathops · pytest-operator · bpyutils · nr-util · ops-scenario · ops · pyats.utils