dataset-evaluation vs data-journalism

Side by side on the facts. GitHub figures come straight from each repository; ratings come from signed-in reviewers here.

Metricdataset-evaluationSkill data-journalismSkill

Type: dataset-evaluationSkill; data-journalismSkill
Category: dataset-evaluationMachine Learning; data-journalismMachine Learning
GitHub stars: dataset-evaluation0; data-journalism0
Trust scoreⓘAuditability and maintenance signals — not a security audit.: dataset-evaluationNot yet assessed; data-journalismNot yet assessed
Community rating: dataset-evaluationNo reviews yet; data-journalismNo reviews yet
Last commit: dataset-evaluationUnknown; data-journalismUnknown
Licence: dataset-evaluationNone declared; data-journalismNone declared
Official: dataset-evaluationNo; data-journalismNo
Source: dataset-evaluation Repository; data-journalism Repository

Highlighted cells win that row on an objective measure. Rows without a clear winner — category, licence, source — are left unmarked. A higher trust score means better auditability and maintenance, not safer code.