Subscription Analytics Platform
ChartMogul vs LinkedIn
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
ChartMogul (Subscription Analytics Platform) and LinkedIn both appear on the Smoower Developer Ecosystem Index.
LinkedIn (rank #338) holds a narrow lead over ChartMogul (rank #401) on the overall Smoower ecosystem score (43 vs 41). The gap of 2 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LinkedIn is ahead of ChartMogul. On community (issue response, PR reviews and discussion health), ChartMogul is slightly ahead of LinkedIn. On reach (how visible the ecosystem is beyond its own repos), LinkedIn is clearly ahead of ChartMogul. On momentum (release cadence and how fast the ecosystem moves), LinkedIn is slightly ahead of ChartMogul.
ChartMogul carries 112 GitHub stars across 21 public repos, with 7 repositories active in the last 90 days and 3 external contributors on record. LinkedIn shows 77,785 stars across 137 public repos, 28 active in the last 90 days and 52 external contributors. The star gap on its own does not decide the comparison, but LinkedIn's footprint is roughly 694.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
ChartMogul is the stronger read for anyone weighting community. LinkedIn 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
| Metric | ChartMogul | |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #338 |
| Pillars | ||
| Overall | 41 | 43 |
| Code | 47 | 63 |
| Education | 54 | 54 |
| Community | 53 | 49 |
| Reach | 14 | 61 |
| Momentum | 30 | 37 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 112 | 77,785 |
| Forks | 64 | 12,231 |
| Public repos | 21 | 137 |
| Active repos (90d) | 7 | 28 |
| External contributors | 3 | 52 |
| Avg polish | 41 | 64 |
| Avg AI-readiness | 43 | 43 |