Kandji vs Podium
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Kandji and Podium both appear on the Smoower Developer Ecosystem Index.
Podium (rank #372) holds a modest lead over Kandji (rank #728) on the overall Smoower ecosystem score (42 vs 30). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Podium is ahead of Kandji. On education (docs, guides and learning material for developers), Podium is clearly ahead of Kandji. On community (issue response, PR reviews and discussion health), Kandji is ahead of Podium. On reach (how visible the ecosystem is beyond its own repos), Podium is clearly ahead of Kandji. On momentum (release cadence and how fast the ecosystem moves), Kandji is clearly ahead of Podium.
Kandji carries 387 GitHub stars across 7 public repos, with 6 repositories active in the last 90 days and 3 external contributors on record. Podium shows 86 stars across 25 public repos, 7 active in the last 90 days and 3 external contributors. The star gap on its own does not decide the comparison, but Kandji's footprint is roughly 4.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Kandji is the stronger read for anyone weighting momentum. Podium looks better where reach 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 | Kandji | Podium |
|---|---|---|
| Ranking | ||
| Overall rank | #728 | #372 |
| Pillars | ||
| Overall | 30 | 42 |
| Code | 44 | 63 |
| Education | 44 | 72 |
| Community | 26 | 16 |
| Reach | 30 | 59 |
| Momentum | 48 | 15 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 387 | 86 |
| Forks | 56 | 75 |
| Public repos | 7 | 25 |
| Active repos (90d) | 6 | 7 |
| External contributors | 3 | 3 |
| Avg polish | 46 | 61 |
| Avg AI-readiness | 29 | 37 |