Developer ecosystem comparison
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ActiveCampaign vs Metabase

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

ActiveCampaign and Metabase both appear on the Smoower Developer Ecosystem Index.

Metabase (rank #165) holds a modest lead over ActiveCampaign (rank #485) on the overall Smoower ecosystem score (51 vs 38). The gap of 13 points reflects composite signals across code, docs, community and reach.

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

ActiveCampaign carries 6,653 GitHub stars across 88 public repos, with 6 repositories active in the last 90 days and 3 external contributors on record. Metabase shows 50,225 stars across 100 public repos, 21 active in the last 90 days and 49 external contributors. The star gap on its own does not decide the comparison, but Metabase's footprint is roughly 7.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

ActiveCampaign is the stronger read for anyone weighting code quality. Metabase 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

MetricActiveCampaignMetabase
Ranking
Overall rank#485#165
Pillars
Overall3851
Code5549
Education6680
Community3439
Reach3041
Momentum1261
Builder experience00
Signals
Stars6,65350,225
Forks1,8797,167
Public repos88100
Active repos (90d)621
External contributors349
Avg polish5550
Avg AI-readiness3230

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