DataDog/ddqa

Datadog's QA manager for releases of GitHub repositories

109

stars

164

commits

Python

primary language

Sep 8, 2026

updated

datadoghq.dev/ddqa/
github
jira
python
testing
tui

README

Datadog QA

example screenshot

CI/CDCI - Test CD - Build
DocsDocs - Build Docs - Publish
PackagePyPI - Version PyPI - Downloads PyPI - Python Version
MetaHatch project linting - Ruff code style - Black types - Mypy License - MIT

DDQA is a tool for users of Jira to perform QA of anticipated releases of code on GitHub.

It works by finding test candidates between two Git references and translates each pull request or direct commit into a Jira issue per designated GitHub team, assigned to a semi-randomly chosen member of that team.

Features

  • Issue creation is completely configurable by each team, with overrides available at runtime
  • Robust status tracking with optional filters
  • Providing a TUI allows for running via SSH on other machines, which is useful when there is restricted access to Git repositories

Documentation

The documentation is made with Material for MkDocs and is hosted by GitHub Pages.

License

DDQA is distributed under the terms of the MIT license.

Contributors

ofek

61 commits

FlorentClarret

52 commits

dependabot[bot]

25 commits

chouetz

13 commits

DataDog/ddqa

Datadog's QA manager for releases of GitHub repositories

109

stars

164

commits

Python

primary language

Sep 8, 2026

updated

datadoghq.dev/ddqa/
github
jira
python
testing
tui

README

Datadog QA

example screenshot

CI/CDCI - Test CD - Build
DocsDocs - Build Docs - Publish
PackagePyPI - Version PyPI - Downloads PyPI - Python Version
MetaHatch project linting - Ruff code style - Black types - Mypy License - MIT

DDQA is a tool for users of Jira to perform QA of anticipated releases of code on GitHub.

It works by finding test candidates between two Git references and translates each pull request or direct commit into a Jira issue per designated GitHub team, assigned to a semi-randomly chosen member of that team.

Features

  • Issue creation is completely configurable by each team, with overrides available at runtime
  • Robust status tracking with optional filters
  • Providing a TUI allows for running via SSH on other machines, which is useful when there is restricted access to Git repositories

Documentation

The documentation is made with Material for MkDocs and is hosted by GitHub Pages.

License

DDQA is distributed under the terms of the MIT license.

Contributors

ofek

61 commits

FlorentClarret

52 commits

dependabot[bot]

25 commits

chouetz

13 commits

Languages

Python

99.2%