World's best business phone app
Take full control of your post-checkout customer experience.
Quo vs parcelLab
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Quo (World's best business phone app) and parcelLab (Take full control of your post-checkout customer experience.) both appear on the Smoower Developer Ecosystem Index.
parcelLab (rank #278) holds a modest lead over Quo (rank #625) on the overall Smoower ecosystem score (46 vs 33). The gap of 13 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), parcelLab is clearly ahead of Quo. On education (docs, guides and learning material for developers), parcelLab is clearly ahead of Quo. On community (issue response, PR reviews and discussion health), parcelLab is ahead of Quo. On reach (how visible the ecosystem is beyond its own repos), Quo is clearly ahead of parcelLab. On momentum (release cadence and how fast the ecosystem moves), parcelLab is clearly ahead of Quo.
Quo carries 12 GitHub stars across 20 public repos, with 2 repositories active in the last 90 days and 0 external contributors on record. parcelLab shows 20 stars across 20 public repos, 10 active in the last 90 days and 12 external contributors.
Quo is the stronger read for anyone weighting reach. parcelLab 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 | Quo | parcelLab |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #278 |
| Pillars | ||
| Overall | 33 | 46 |
| Code | 32 | 71 |
| Education | 43 | 76 |
| Community | 11 | 28 |
| Reach | 44 | 3 |
| Momentum | 41 | 64 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 12 | 20 |
| Forks | 1 | 8 |
| Public repos | 20 | 20 |
| Active repos (90d) | 2 | 10 |
| External contributors | 0 | 12 |
| Avg polish | 28 | 75 |
| Avg AI-readiness | 39 | 38 |