All development of lansweeper
Lansweeper NV vs Spendesk
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Lansweeper NV (All development of lansweeper) and Spendesk (The 7-in-1 spend management solution) both appear on the Smoower Developer Ecosystem Index.
Spendesk (rank #536) holds a narrow lead over Lansweeper NV (rank #728) on the overall Smoower ecosystem score (36 vs 30). 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), Spendesk is clearly ahead of Lansweeper NV. On education (docs, guides and learning material for developers), Spendesk is slightly ahead of Lansweeper NV. On community (issue response, PR reviews and discussion health), Spendesk is ahead of Lansweeper NV. On reach (how visible the ecosystem is beyond its own repos), Lansweeper NV is clearly ahead of Spendesk. On momentum (release cadence and how fast the ecosystem moves), Spendesk is ahead of Lansweeper NV.
Lansweeper NV carries 0 GitHub stars across 0 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Spendesk shows 10 stars across 39 public repos, 1 active in the last 90 days and 0 external contributors.
Lansweeper NV is the stronger read for anyone weighting reach. Spendesk looks better where code quality 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 | Lansweeper NV | Spendesk |
|---|---|---|
| Ranking | ||
| Overall rank | #728 | #536 |
| Pillars | ||
| Overall | 30 | 36 |
| Code | 0 | 36 |
| Education | 60 | 68 |
| Community | 0 | 12 |
| Reach | 50 | 19 |
| Momentum | 28 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 0 | 10 |
| Forks | 0 | 13 |
| Public repos | 0 | 39 |
| Active repos (90d) | 0 | 1 |
| External contributors | 0 | 0 |
| Avg polish | 0 | 25 |
| Avg AI-readiness | 0 | 35 |