Building & Supporting Open Source Communities Through Metrics
summary
Bitergia shows a concrete toolkit: CHAOSS defines 70+ metrics across five groups (common, value, evolution, DEI, waste) and tools like Grimoire Lab / cauldron.io / Apache Kibble ingest GitHub/GitLab, mailing lists and issue trackers. Reports cite actionable findings — mean time to merge under four days in one project, Mautic increases first-time contributors after outreach, Drupal keeps stable organizational participation despite fewer individual contributors, and the elephant factor measures skewed work distribution. Practical focus: pick ≤5 actionable metrics, build baselines, then iterate.
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chapters (11)
- 0:00Introduction
- 0:26Why open source
- 3:30Chaos Metrics
- 6:25Metrics Examples
- 15:44Organizational Challenges
- 19:34Technical Challenges
- 20:32Enriching Data
- 21:19Managing Identities
- 21:49Calculation Metrics
- 22:19Making the Data Useful
- 24:02Summary
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