Digital marketing tools to grow your audience faster and drive revenue smarter.
InVision vs MailerLite
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
InVision and MailerLite (Digital marketing tools to grow your audience faster and drive revenue smarter.) both appear on the Smoower Developer Ecosystem Index.
InVision and MailerLite sit at essentially the same overall ecosystem score (40), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), MailerLite is slightly ahead of InVision. On education (docs, guides and learning material for developers), InVision is clearly ahead of MailerLite. On community (issue response, PR reviews and discussion health), MailerLite is ahead of InVision. On reach (how visible the ecosystem is beyond its own repos), InVision is clearly ahead of MailerLite. On momentum (release cadence and how fast the ecosystem moves), MailerLite is clearly ahead of InVision.
InVision carries 1,303 GitHub stars across 114 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. MailerLite shows 1,134 stars across 39 public repos, 25 active in the last 90 days and 3 external contributors.
InVision is the stronger read for anyone weighting education. MailerLite 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 | InVision | MailerLite |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #430 |
| Pillars | ||
| Overall | 40 | 40 |
| Code | 46 | 52 |
| Education | 80 | 55 |
| Community | 14 | 28 |
| Reach | 40 | 15 |
| Momentum | 0 | 36 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,303 | 1,134 |
| Forks | 193 | 288 |
| Public repos | 114 | 39 |
| Active repos (90d) | 0 | 25 |
| External contributors | 0 | 3 |
| Avg polish | 52 | 44 |
| Avg AI-readiness | 34 | 46 |