ActiveCampaign vs Canvas-LMS
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ActiveCampaign and Canvas-LMS both appear on the Smoower Developer Ecosystem Index.
ActiveCampaign (rank #485) holds a narrow lead over Canvas-LMS (rank #726) on the overall Smoower ecosystem score (38 vs 30). The gap of 8 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), ActiveCampaign is ahead of Canvas-LMS. On education (docs, guides and learning material for developers), ActiveCampaign is slightly ahead of Canvas-LMS. On community (issue response, PR reviews and discussion health), ActiveCampaign is clearly ahead of Canvas-LMS. On reach (how visible the ecosystem is beyond its own repos), ActiveCampaign is slightly ahead of Canvas-LMS. On momentum (release cadence and how fast the ecosystem moves), ActiveCampaign is ahead of Canvas-LMS.
ActiveCampaign carries 6,622 GitHub stars across 87 public repos, with 6 repositories active in the last 90 days and 2 external contributors on record. Canvas-LMS shows 1 stars across 1 public repos, 0 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but ActiveCampaign's footprint is roughly 6622.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
ActiveCampaign is the stronger read for anyone weighting community. Canvas-LMS makes more sense for teams already using its adjacent tools. 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 | ActiveCampaign | Canvas-LMS |
|---|---|---|
| Ranking | ||
| Overall rank | #485 | #726 |
| Pillars | ||
| Overall | 38 | 30 |
| Code | 55 | 42 |
| Education | 66 | 60 |
| Community | 34 | 3 |
| Reach | 30 | 23 |
| Momentum | 12 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,622 | 1 |
| Forks | 1,872 | 0 |
| Public repos | 87 | 1 |
| Active repos (90d) | 6 | 0 |
| External contributors | 2 | 0 |
| Avg polish | 55 | 30 |
| Avg AI-readiness | 32 | 15 |