ActiveCampaign vs Taiga.io
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ActiveCampaign and Taiga.io (Your Agile, Free and Open Source Project Management Tool) both appear on the Smoower Developer Ecosystem Index.
ActiveCampaign (rank #485) holds a narrow lead over Taiga.io (rank #662) on the overall Smoower ecosystem score (38 vs 32). The gap of 6 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 Taiga.io. On education (docs, guides and learning material for developers), ActiveCampaign is slightly ahead of Taiga.io. On community (issue response, PR reviews and discussion health), ActiveCampaign is slightly ahead of Taiga.io. On reach (how visible the ecosystem is beyond its own repos), Taiga.io is slightly ahead of ActiveCampaign. On momentum (release cadence and how fast the ecosystem moves), Taiga.io is 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. Taiga.io shows 3,457 stars across 19 public repos, 11 active in the last 90 days and 9 external contributors.
ActiveCampaign is the stronger read for anyone weighting code quality. Taiga.io 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
| Metric | ActiveCampaign | Taiga.io |
|---|---|---|
| Ranking | ||
| Overall rank | #485 | #662 |
| Pillars | ||
| Overall | 38 | 32 |
| Code | 55 | 39 |
| Education | 66 | 58 |
| Community | 34 | 33 |
| Reach | 30 | 35 |
| Momentum | 12 | 27 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,653 | 3,457 |
| Forks | 1,879 | 1,190 |
| Public repos | 88 | 19 |
| Active repos (90d) | 6 | 11 |
| External contributors | 3 | 9 |
| Avg polish | 55 | 45 |
| Avg AI-readiness | 32 | 29 |