Developer samples for Google Workspace APIs
Google Workspace vs Metabase
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Google Workspace (Developer samples for Google Workspace APIs) and Metabase both appear on the Smoower Developer Ecosystem Index.
Google Workspace and Metabase sit at essentially the same overall ecosystem score (51), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Google Workspace is clearly ahead of Metabase. On education (docs, guides and learning material for developers), Metabase is clearly ahead of Google Workspace. On community (issue response, PR reviews and discussion health), Google Workspace is ahead of Metabase. On reach (how visible the ecosystem is beyond its own repos), Google Workspace is slightly ahead of Metabase. On momentum (release cadence and how fast the ecosystem moves), Google Workspace is slightly ahead of Metabase.
Google Workspace carries 48,567 GitHub stars across 57 public repos, with 18 repositories active in the last 90 days and 37 external contributors on record. Metabase shows 50,225 stars across 100 public repos, 21 active in the last 90 days and 49 external contributors.
Google Workspace is the stronger read for anyone weighting code quality. Metabase looks better where education is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Google Workspace | Metabase |
|---|---|---|
| Ranking | ||
| Overall rank | #165 | #165 |
| Pillars | ||
| Overall | 51 | 51 |
| Code | 70 | 49 |
| Education | 54 | 80 |
| Community | 50 | 39 |
| Reach | 46 | 41 |
| Momentum | 62 | 61 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 48,567 | 50,225 |
| Forks | 9,208 | 7,167 |
| Public repos | 57 | 100 |
| Active repos (90d) | 18 | 21 |
| External contributors | 37 | 49 |
| Avg polish | 80 | 50 |
| Avg AI-readiness | 39 | 30 |