Product Insights
Heap vs SolarWinds
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Heap (Product Insights) and SolarWinds both appear on the Smoower Developer Ecosystem Index.
Heap and SolarWinds sit at essentially the same overall ecosystem score (35), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), SolarWinds is ahead of Heap. On education (docs, guides and learning material for developers), Heap is clearly ahead of SolarWinds. On community (issue response, PR reviews and discussion health), SolarWinds is ahead of Heap. On reach (how visible the ecosystem is beyond its own repos), SolarWinds is slightly ahead of Heap. On momentum (release cadence and how fast the ecosystem moves), SolarWinds is clearly ahead of Heap.
Heap carries 215 GitHub stars across 65 public repos, with 6 repositories active in the last 90 days and 1 external contributors on record. SolarWinds shows 1,101 stars across 104 public repos, 35 active in the last 90 days and 18 external contributors. The star gap on its own does not decide the comparison, but SolarWinds's footprint is roughly 5.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Heap is the stronger read for anyone weighting education. SolarWinds 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 | Heap | SolarWinds |
|---|---|---|
| Ranking | ||
| Overall rank | #569 | #569 |
| Pillars | ||
| Overall | 35 | 35 |
| Code | 35 | 54 |
| Education | 72 | 50 |
| Community | 14 | 33 |
| Reach | 30 | 34 |
| Momentum | 12 | 62 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 215 | 1,101 |
| Forks | 105 | 471 |
| Public repos | 65 | 104 |
| Active repos (90d) | 6 | 35 |
| External contributors | 1 | 18 |
| Avg polish | 37 | 56 |
| Avg AI-readiness | 23 | 38 |