Kajabi vs Segment
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Kajabi and Segment both appear on the Smoower Developer Ecosystem Index.
Segment (rank #103) holds a meaningful lead over Kajabi (rank #662) on the overall Smoower ecosystem score (55 vs 32). The gap of 23 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Segment is ahead of Kajabi. On education (docs, guides and learning material for developers), Segment is clearly ahead of Kajabi. On community (issue response, PR reviews and discussion health), Segment is clearly ahead of Kajabi. On reach (how visible the ecosystem is beyond its own repos), Segment is clearly ahead of Kajabi. On momentum (release cadence and how fast the ecosystem moves), Segment is slightly ahead of Kajabi.
Kajabi carries 99 GitHub stars across 103 public repos, with 8 repositories active in the last 90 days and 11 external contributors on record. Segment shows 58,406 stars across 421 public repos, 53 active in the last 90 days and 12 external contributors. The star gap on its own does not decide the comparison, but Segment's footprint is roughly 590.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Kajabi is worth a look for teams already invested in its stack. Segment looks better where community 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 | Kajabi | Segment |
|---|---|---|
| Ranking | ||
| Overall rank | #662 | #103 |
| Pillars | ||
| Overall | 32 | 55 |
| Code | 47 | 57 |
| Education | 51 | 72 |
| Community | 18 | 56 |
| Reach | 11 | 40 |
| Momentum | 44 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 99 | 58,406 |
| Forks | 42 | 7,570 |
| Public repos | 103 | 421 |
| Active repos (90d) | 8 | 53 |
| External contributors | 11 | 12 |
| Avg polish | 45 | 60 |
| Avg AI-readiness | 36 | 41 |