Airbase vs Attio
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Airbase and Attio both appear on the Smoower Developer Ecosystem Index.
Airbase (rank #401) holds a narrow lead over Attio (rank #569) on the overall Smoower ecosystem score (41 vs 35). The gap of 6 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Airbase is slightly ahead of Attio. On education (docs, guides and learning material for developers), Airbase is ahead of Attio. On community (issue response, PR reviews and discussion health), Airbase is ahead of Attio. On reach (how visible the ecosystem is beyond its own repos), Airbase is clearly ahead of Attio. On momentum (release cadence and how fast the ecosystem moves), Attio is clearly ahead of Airbase.
Airbase carries 7 GitHub stars across 76 public repos, with 4 repositories active in the last 90 days and 2 external contributors on record. Attio shows 90 stars across 19 public repos, 13 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Attio's footprint is roughly 12.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Airbase is the stronger read for anyone weighting reach. Attio looks better where momentum 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 | Airbase | Attio |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #569 |
| Pillars | ||
| Overall | 41 | 35 |
| Code | 35 | 30 |
| Education | 72 | 56 |
| Community | 28 | 16 |
| Reach | 50 | 18 |
| Momentum | 8 | 34 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 7 | 90 |
| Forks | 7 | 15 |
| Public repos | 76 | 19 |
| Active repos (90d) | 4 | 13 |
| External contributors | 2 | 1 |
| Avg polish | 30 | 27 |
| Avg AI-readiness | 37 | 23 |