Developer ecosystem comparison
CO
Countly Team
@Countly
Rank #485
Score 38
SaaS

Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications

vs

Countly Team vs KAYAK

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Countly Team (Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications) and KAYAK both appear on the Smoower Developer Ecosystem Index.

Countly Team and KAYAK sit at essentially the same overall ecosystem score (38), which is unusual and worth reading through the pillars below.

On code quality (the state of repositories, tests, releases and polish), KAYAK is slightly ahead of Countly Team. On education (docs, guides and learning material for developers), KAYAK is slightly ahead of Countly Team. On community (issue response, PR reviews and discussion health), Countly Team is ahead of KAYAK. On reach (how visible the ecosystem is beyond its own repos), KAYAK is clearly ahead of Countly Team. On momentum (release cadence and how fast the ecosystem moves), Countly Team is clearly ahead of KAYAK.

Countly Team carries 7,804 GitHub stars across 48 public repos, with 20 repositories active in the last 90 days and 13 external contributors on record. KAYAK shows 3,186 stars across 72 public repos, 4 active in the last 90 days and 1 external contributors.

Countly Team is the stronger read for anyone weighting momentum. KAYAK 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

MetricCountly TeamKAYAK
Ranking
Overall rank#485#485
Pillars
Overall3838
Code5759
Education5659
Community4630
Reach1744
Momentum6136
Builder experience00
Signals
Stars7,8043,186
Forks2,002462
Public repos4872
Active repos (90d)204
External contributors131
Avg polish6156
Avg AI-readiness3744

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